{"id":125118,"date":"2023-02-14T00:00:00","date_gmt":"2023-02-14T00:00:00","guid":{"rendered":"https:\/\/nursingstudybay.com\/2023\/02\/14\/50-multiple-questions-for-statistics-and-probability\/"},"modified":"2023-02-14T00:00:00","modified_gmt":"2023-02-14T00:00:00","slug":"50-multiple-questions-for-statistics-and-probability","status":"publish","type":"post","link":"https:\/\/www.studyproessays.com\/help\/50-multiple-questions-for-statistics-and-probability\/","title":{"rendered":"50 multiple questions for statistics and probability"},"content":{"rendered":"

<\/p>\n

\n

QUESTION 1<\/span><\/strong><\/p>\n

Suppose the American Medical Association Center for Health Policy Research included data, by state, on the number of community hospitals and the average patient stay (in days) in its publication. The data (by state) are shown in the table.
Which two states have an unusually high number of hospitals?<\/span><\/p>\n

\u00a0<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

State<\/span><\/p>\n<\/td>\n

\n

Hospitals<\/span><\/p>\n<\/td>\n

\n

State<\/span><\/p>\n<\/td>\n

\n

Hospitals<\/span><\/p>\n<\/td>\n

\n

State<\/span><\/p>\n<\/td>\n

\n

Hospitals<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Alabama<\/span><\/p>\n<\/td>\n

\n

330<\/span><\/p>\n<\/td>\n

\n

Colorado<\/span><\/p>\n<\/td>\n

\n

72<\/span><\/p>\n<\/td>\n

\n

Georgia<\/span><\/p>\n<\/td>\n

\n

163<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Alaska<\/span><\/p>\n<\/td>\n

\n

16<\/span><\/p>\n<\/td>\n

\n

Connecticut<\/span><\/p>\n<\/td>\n

\n

35<\/span><\/p>\n<\/td>\n

\n

Hawaii<\/span><\/p>\n<\/td>\n

\n

19<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Arizona<\/span><\/p>\n<\/td>\n

\n

61<\/span><\/p>\n<\/td>\n

\n

Delaware<\/span><\/p>\n<\/td>\n

\n

8<\/span><\/p>\n<\/td>\n

\n

Idaho<\/span><\/p>\n<\/td>\n

\n

41<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Arkansas<\/span><\/p>\n<\/td>\n

\n

88<\/span><\/p>\n<\/td>\n

\n

Dist. of Columbia<\/span><\/p>\n<\/td>\n

\n

11<\/span><\/p>\n<\/td>\n

\n

Illinois<\/span><\/p>\n<\/td>\n

\n

279<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

California<\/span><\/p>\n<\/td>\n

\n

236<\/span><\/p>\n<\/td>\n

\n

Florida<\/span><\/p>\n<\/td>\n

\n

289<\/span><\/p>\n<\/td>\n

\n

Indiana<\/span><\/p>\n<\/td>\n

\n

113<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Iowa<\/span><\/p>\n<\/td>\n

\n

123<\/span><\/p>\n<\/td>\n

\n

Nebraska<\/span><\/p>\n<\/td>\n

\n

90<\/span><\/p>\n<\/td>\n

\n

Rhode Island<\/span><\/p>\n<\/td>\n

\n

12<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Kansas<\/span><\/p>\n<\/td>\n

\n

133<\/span><\/p>\n<\/td>\n

\n

Nebraska<\/span><\/p>\n<\/td>\n

\n

21<\/span><\/p>\n<\/td>\n

\n

S.Carolina<\/span><\/p>\n<\/td>\n

\n

68<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Kentucky<\/span><\/p>\n<\/td>\n

\n

107<\/span><\/p>\n<\/td>\n

\n

New Hampshire<\/span><\/p>\n<\/td>\n

\n

21<\/span><\/p>\n<\/td>\n

\n

S.Dakota<\/span><\/p>\n<\/td>\n

\n

52<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Louisiana<\/span><\/p>\n<\/td>\n

\n

459<\/span><\/p>\n<\/td>\n

\n

New Jersey<\/span><\/p>\n<\/td>\n

\n

96<\/span><\/p>\n<\/td>\n

\n

Tennessee<\/span><\/p>\n<\/td>\n

\n

122<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Maine<\/span><\/p>\n<\/td>\n

\n

38<\/span><\/p>\n<\/td>\n

\n

New Mexico<\/span><\/p>\n<\/td>\n

\n

37<\/span><\/p>\n<\/td>\n

\n

Texas<\/span><\/p>\n<\/td>\n

\n

235<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Maryland<\/span><\/p>\n<\/td>\n

\n

51<\/span><\/p>\n<\/td>\n

\n

New York<\/span><\/p>\n<\/td>\n

\n

333<\/span><\/p>\n<\/td>\n

\n

Utah<\/span><\/p>\n<\/td>\n

\n

42<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Mass.<\/span><\/p>\n<\/td>\n

\n

101<\/span><\/p>\n<\/td>\n

\n

N.Caroline<\/span><\/p>\n<\/td>\n

\n

117<\/span><\/p>\n<\/td>\n

\n

Vermont<\/span><\/p>\n<\/td>\n

\n

15<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Michigan<\/span><\/p>\n<\/td>\n

\n

175<\/span><\/p>\n<\/td>\n

\n

N.Dakota<\/span><\/p>\n<\/td>\n

\n

47<\/span><\/p>\n<\/td>\n

\n

Virginia<\/span><\/p>\n<\/td>\n

\n

98<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Minnesota<\/span><\/p>\n<\/td>\n

\n

276<\/span><\/p>\n<\/td>\n

\n

Ohio<\/span><\/p>\n<\/td>\n

\n

193<\/span><\/p>\n<\/td>\n

\n

Washington<\/span><\/p>\n<\/td>\n

\n

92<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Mississippi<\/span><\/p>\n<\/td>\n

\n

102<\/span><\/p>\n<\/td>\n

\n

Oklahoma<\/span><\/p>\n<\/td>\n

\n

399<\/span><\/p>\n<\/td>\n

\n

W.Virginia<\/span><\/p>\n<\/td>\n

\n

59<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Missouri<\/span><\/p>\n<\/td>\n

\n

133<\/span><\/p>\n<\/td>\n

\n

Oregon<\/span><\/p>\n<\/td>\n

\n

66<\/span><\/p>\n<\/td>\n

\n

Wisconsin<\/span><\/p>\n<\/td>\n

\n

478<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Montana<\/span><\/p>\n<\/td>\n

\n

53<\/span><\/p>\n<\/td>\n

\n

Pennsylvania<\/span><\/p>\n<\/td>\n

\n

231<\/span><\/p>\n<\/td>\n

\n

Wyoming<\/span><\/p>\n<\/td>\n

\n

27<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

Florida\u00a0and\u00a0Wisconsin<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

Alabama\u00a0and\u00a0Arkansas<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

Wisconsin\u00a0and\u00a0Louisiana<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

Maine\u00a0and\u00a0Iowa<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

none of these choices<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 2<\/span><\/strong><\/p>\n

In one of the archaeological excavation sites, the artifact density (number of prehistoric artifacts per 10 liters of sediment) was\u00a02.0. Suppose you are going to dig up and examine\u00a040\u00a0liters of sediment at this site. Let \u00a0r = 0, 1, 2, 3,\u2026 be a random variable that represents the number of prehistoric artifacts found in your\u00a040\u00a0liters of sediment. Find the probability that you will find\u00a01\u00a0or more artifacts in the\u00a040\u00a0liters of sediment. Round your answer to the nearest ten thousandth.<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

0.0137<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

0.0027<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

0.0013<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

0.0096<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

0.0107<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 3<\/span><\/strong><\/p>\n

Compute the population standard deviation\u00a0<\/span>\u03c3<\/span>\u00a0for the following sample data, assuming the sample comprises the entire population. Round your answer to the nearest hundredth.
\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n\n
\n

x:<\/span><\/p>\n<\/td>\n

\n

21<\/span><\/p>\n<\/td>\n

\n

19<\/span><\/p>\n<\/td>\n

\n

12<\/span><\/p>\n<\/td>\n

\n

30<\/span><\/p>\n<\/td>\n

\n

29<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

9.71<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

7.46<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

8.68<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

6.68<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

2.29<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 4<\/span><\/strong><\/p>\n

What is a\u00a0<\/span>sampling distribution<\/span><\/em>?<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

A set of measurements (or counts), either existing or conceptual<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

A numerical descriptive measure of a sample<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

A conclusion about the value of a population parameter based on information about the corresponding sample statistic and probability<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

A probability distribution for a sample statistic<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

A numerical descriptive measure of a population<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 5<\/span><\/strong><\/p>\n

To compare two elementary schools regarding teaching of reading skills, 12 sets of identical twins were used. In each case, one child was selected at random and sent to school A, and his or her twin was sent to school B. Near the end of fifth grade, an achievement test was given to each child. The results follow:
\u00a0<\/span><\/p>\n\n\n\n\n\n
\n

Twin Pair<\/span><\/strong><\/p>\n<\/td>\n

\n

1<\/span><\/strong><\/p>\n<\/td>\n

\n

2<\/span><\/strong><\/p>\n<\/td>\n

\n

3<\/span><\/strong><\/p>\n<\/td>\n

\n

4<\/span><\/strong><\/p>\n<\/td>\n

\n

5<\/span><\/strong><\/p>\n<\/td>\n

\n

6<\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

School A<\/span><\/strong><\/p>\n<\/td>\n

\n

80<\/span><\/p>\n<\/td>\n

\n

145<\/span><\/p>\n<\/td>\n

\n

118<\/span><\/p>\n<\/td>\n

\n

90<\/span><\/p>\n<\/td>\n

\n

112<\/span><\/p>\n<\/td>\n

\n

118<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

School B<\/span><\/strong><\/p>\n<\/td>\n

\n

83<\/span><\/p>\n<\/td>\n

\n

135<\/span><\/p>\n<\/td>\n

\n

115<\/span><\/p>\n<\/td>\n

\n

105<\/span><\/p>\n<\/td>\n

\n

105<\/span><\/p>\n<\/td>\n

\n

113<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n


\u00a0<\/span><\/p>\n\n\n\n\n\n
\n

Twin Pair<\/span><\/strong><\/p>\n<\/td>\n

\n

7<\/span><\/strong><\/p>\n<\/td>\n

\n

8<\/span><\/strong><\/p>\n<\/td>\n

\n

9<\/span><\/strong><\/p>\n<\/td>\n

\n

10<\/span><\/strong><\/p>\n<\/td>\n

\n

11<\/span><\/strong><\/p>\n<\/td>\n

\n

12<\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

School A<\/span><\/strong><\/p>\n<\/td>\n

\n

98<\/span><\/p>\n<\/td>\n

\n

112<\/span><\/p>\n<\/td>\n

\n

115<\/span><\/p>\n<\/td>\n

\n

144<\/span><\/p>\n<\/td>\n

\n

124<\/span><\/p>\n<\/td>\n

\n

96<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

School B<\/span><\/strong><\/p>\n<\/td>\n

\n

93<\/span><\/p>\n<\/td>\n

\n

87<\/span><\/p>\n<\/td>\n

\n

98<\/span><\/p>\n<\/td>\n

\n

132<\/span><\/p>\n<\/td>\n

\n

135<\/span><\/p>\n<\/td>\n

\n

105<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/span><\/p>\n

Suppose a sign test for matched pairs with a 5% level of significance is used to test the hypothesis that the schools have the same effectiveness in teaching reading skills against the alternate hypothesis that the schools have different levels of effectiveness in teaching reading skills. Let\u00a0<\/span>p<\/span><\/em>\u00a0denote portion of positive signs when the scores of school B are subtracted from the corresponding scores of school A. Calculate the\u00a0<\/span>P<\/span><\/em>-value. Round your answer to four decimal places.<\/span><\/p>\n

\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

0.3001<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

0.2501<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

0.1251<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

0.7499<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

0.3071<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 6<\/span><\/strong><\/p>\n

A data processing company has a training program for new salespeople. After completing the training program, each trainee is ranked by his or her instructor. After a year of sales, the same class of trainees is again ranked by a company supervisor according to net value of the contracts they have acquired for the company. The results for a random sample of 11 salespeople trained in the last year follow, where\u00a0<\/span>x<\/span><\/em>\u00a0is rank in training class and\u00a0<\/span>y<\/span><\/em>\u00a0is rank in sales after 1 year. Lower ranks mean higher standing in class and higher net sales.
\u00a0<\/span><\/p>\n\n\n\n\n\n
\n

Person<\/span><\/strong><\/p>\n<\/td>\n

\n

1<\/span><\/strong><\/p>\n<\/td>\n

\n

2<\/span><\/strong><\/p>\n<\/td>\n

\n

3<\/span><\/strong><\/p>\n<\/td>\n

\n

4<\/span><\/strong><\/p>\n<\/td>\n

\n

5<\/span><\/strong><\/p>\n<\/td>\n

\n

6<\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em><\/strong>\u00a0rank<\/span><\/strong><\/p>\n<\/td>\n

\n

8<\/span><\/p>\n<\/td>\n

\n

11<\/span><\/p>\n<\/td>\n

\n

2<\/span><\/p>\n<\/td>\n

\n

4<\/span><\/p>\n<\/td>\n

\n

5<\/span><\/p>\n<\/td>\n

\n

3<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

y<\/span><\/em><\/strong>\u00a0rank<\/span><\/strong><\/p>\n<\/td>\n

\n

7<\/span><\/p>\n<\/td>\n

\n

2<\/span><\/p>\n<\/td>\n

\n

3<\/span><\/p>\n<\/td>\n

\n

6<\/span><\/p>\n<\/td>\n

\n

5<\/span><\/p>\n<\/td>\n

\n

8<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n


\u00a0<\/span><\/p>\n\n\n\n\n\n
\n

Person<\/span><\/strong><\/p>\n<\/td>\n

\n

7<\/span><\/strong><\/p>\n<\/td>\n

\n

8<\/span><\/strong><\/p>\n<\/td>\n

\n

9<\/span><\/strong><\/p>\n<\/td>\n

\n

10<\/span><\/strong><\/p>\n<\/td>\n

\n

11<\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em><\/strong>\u00a0rank<\/span><\/strong><\/p>\n<\/td>\n

\n

7<\/span><\/p>\n<\/td>\n

\n

9<\/span><\/p>\n<\/td>\n

\n

10<\/span><\/p>\n<\/td>\n

\n

1<\/span><\/p>\n<\/td>\n

\n

6<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

y<\/span><\/em><\/strong>\u00a0rank<\/span><\/strong><\/p>\n<\/td>\n

\n

9<\/span><\/p>\n<\/td>\n

\n

11<\/span><\/p>\n<\/td>\n

\n

10<\/span><\/p>\n<\/td>\n

\n

1<\/span><\/p>\n<\/td>\n

\n

4<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/span><\/p>\n

Using a 10% level of significance, test the claim that the relation between\u00a0<\/span>x<\/span><\/em>\u00a0and\u00a0<\/span>y<\/span><\/em>\u00a0is monotone (either increasing or decreasing). What is the level of significance\u00a0<\/span>\u03b1<\/span><\/em>?<\/span><\/p>\n

\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

a = 0.10<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

a = 0.03<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

a = 0.05<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

a = 1.00<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

a = 10.00<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 7<\/span><\/strong><\/p>\n

Do bonds reduce the overall risk of an investment portfolio? Let\u00a0<\/span>x<\/span><\/em>\u00a0be a random variable representing annual percent return for the Vanguard Total Stock Index (all Stocks). Let\u00a0<\/span>y<\/span><\/em>\u00a0be a random variable representing annual return for the Vanguard Balanced Index (60% stock and 40% bond). For the past several years, assume the following data. Compute the sample mean for\u00a0<\/span>x<\/span><\/em>\u00a0and for\u00a0<\/span>y<\/span><\/em>. Round your answer to the nearest tenth.
\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n
\n

x:<\/span><\/em><\/p>\n<\/td>\n

\n

11<\/span><\/p>\n<\/td>\n

\n

0<\/span><\/p>\n<\/td>\n

\n

36<\/span><\/p>\n<\/td>\n

\n

22<\/span><\/p>\n<\/td>\n

\n

34<\/span><\/p>\n<\/td>\n

\n

24<\/span><\/p>\n<\/td>\n

\n

25<\/span><\/p>\n<\/td>\n

\n

-11<\/span><\/p>\n<\/td>\n

\n

-11<\/span><\/p>\n<\/td>\n

\n

-22<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

y:<\/span><\/em><\/p>\n<\/td>\n

\n

9<\/span><\/p>\n<\/td>\n

\n

-3<\/span><\/p>\n<\/td>\n

\n

28<\/span><\/p>\n<\/td>\n

\n

14<\/span><\/p>\n<\/td>\n

\n

23<\/span><\/p>\n<\/td>\n

\n

16<\/span><\/p>\n<\/td>\n

\n

14<\/span><\/p>\n<\/td>\n

\n

-3<\/span><\/p>\n<\/td>\n

\n

-4<\/span><\/p>\n<\/td>\n

\n

-9<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

X = 37.0 \u00a0and\u00a0 y = 12.0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

X = 65.0 \u00a0and\u00a0y = 9.1<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

X = 10.8 \u00a0and y = 8.5\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

X = 152.0 \u00a0and y = 9.8\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

X = 8.5 \u00a0and y = 10.8\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 8<\/span><\/strong><\/p>\n

Benford’s Law claims that numbers chosen from very large data files tend to have “1” as the first nonzero digit disproportionately often. In fact, research has shown that if you randomly draw a number from a very large data file, the probability of getting a number with “1” as the leading digit is about 0.301. Suppose you are an auditor for a very large corporation. The revenue report involves millions of numbers in a large computer file. Let us say you took a random sample of\u00a0<\/span>n<\/span><\/em>\u00a0=\u00a0247 numerical entries from the file and\u00a0<\/span>r<\/span><\/em>\u00a0=\u00a060 of the entries had a first nonzero digit of 1. Let\u00a0<\/span>p<\/span><\/em>\u00a0represent the population proportion of all numbers in the corporate file that have a first nonzero digit of 1. Test the claim that\u00a0<\/span>p<\/span><\/em>\u00a0is less than 0.301 by using\u00a0<\/span>\u03b1<\/span><\/em>\u00a0=\u00a00.1. Are the data statistically significant at the significance level? Based on your answers, will you reject or fail to reject the null hypothesis?<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

The P-value is less\u00a0than the level of significance so the data are statistically significant. Thus, we reject the null hypothesis.<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

The P-value is less\u00a0than the level of significance so the data are\u00a0not statistically significant. Thus, we reject the null hypothesis.<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

The P-value is less\u00a0than the level of significance so the data are statistically significant. Thus, we fail\u00a0to\u00a0reject the null hypothesis.<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

The P-value is greater\u00a0than the level of significance so the data are\u00a0not statistically significant. Thus, we reject the null hypothesis.<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

The P-value is less\u00a0than the level of significance so the data are statistically significant. Thus, we reject the null hypothesis.<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 9<\/span><\/strong><\/p>\n

Suppose the age distribution of the Canadian population and the age distribution of a random sample of 528\u00a0residents in the Indian community of Red Lake are shown below.
\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n\n
\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

Observed Number<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Age (years)<\/span><\/p>\n<\/td>\n

\n

Percent of Canadian Population<\/span><\/p>\n<\/td>\n

\n

in Red Lake Village<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Under 5<\/span><\/p>\n<\/td>\n

\n

6.4%<\/span><\/p>\n<\/td>\n

\n

38<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

5 to 14<\/span><\/p>\n<\/td>\n

\n

11.8%<\/span><\/p>\n<\/td>\n

\n

48<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

15 to 64<\/span><\/p>\n<\/td>\n

\n

70.3%<\/span><\/p>\n<\/td>\n

\n

397<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

65 and older<\/span><\/p>\n<\/td>\n

\n

11.5%<\/span><\/p>\n<\/td>\n

\n

45<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Use\u00a0a = 0.05\u00a0to test the claim that the age distribution of the general Canadian population fits the age distribution of the residents of Red Lake Village. Given a value of 9.673 for\u00a0x2<\/sup>, find (or estimate) the P-value of the sample test statistic.<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

0.01\u00a0<\u00a0P-Value\u00a0<\u00a00.025<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

P-Value\u00a0<\u00a00.005<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

0.025\u00a0<\u00a0P-Value\u00a0<\u00a00.05<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

0.25\u00a0<\u00a0P-Value\u00a0<\u00a00.50<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

0.05\u00a0<\u00a0P-Value\u00a0<\u00a00.10<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 10<\/span><\/strong><\/p>\n

Identify the level of measurement corresponding to the data “Cost of\u00a0<\/span>rod\u00a0and\u00a0reel”<\/span>\u00a0associated with fishing.<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

interval<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

nominal<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

ratio<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

none\u00a0of\u00a0these\u00a0choices<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

ordinal<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 11<\/span><\/strong><\/p>\n

Data may be classified by one of the four levels of measurement. What is the name of the lowest level?<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

nominal<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

ratio<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

ordinal<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

interval<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

simple<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 12<\/span><\/strong><\/p>\n

Compute the expected age\u00a0<\/span>\u03bc<\/span><\/em>\u00a0of a British nurse in 1851. Assume that the table below shows the age distribution of nurses in Great Britain in 1851. Round your answer to nearest hundredth.
\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n
\n

Age range (yr)<\/span><\/p>\n<\/td>\n

\n

20\u201329<\/span><\/strong><\/p>\n<\/td>\n

\n

30\u201339<\/span><\/strong><\/p>\n<\/td>\n

\n

40\u201349<\/span><\/strong><\/p>\n<\/td>\n

\n

50\u201359<\/span><\/strong><\/p>\n<\/td>\n

\n

60\u201369<\/span><\/strong><\/p>\n<\/td>\n

\n

70\u201379<\/span><\/strong><\/p>\n<\/td>\n

\n

80+<\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

Midpoint (x<\/em>)<\/span><\/p>\n<\/td>\n

\n

24.5<\/span><\/p>\n<\/td>\n

\n

34.5<\/span><\/p>\n<\/td>\n

\n

44.5<\/span><\/p>\n<\/td>\n

\n

54.5<\/span><\/p>\n<\/td>\n

\n

64.5<\/span><\/p>\n<\/td>\n

\n

75.5<\/span><\/p>\n<\/td>\n

\n

84.5<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Percent of nurses<\/span><\/p>\n<\/td>\n

\n

5.7%<\/span><\/p>\n<\/td>\n

\n

9.6%<\/span><\/p>\n<\/td>\n

\n

19.5%<\/span><\/p>\n<\/td>\n

\n

29.1%<\/span><\/p>\n<\/td>\n

\n

24.9%<\/span><\/p>\n<\/td>\n

\n

9.0%<\/span><\/p>\n<\/td>\n

\n

2.2%<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

53.93<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

59.50<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

43.96<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

54.50<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

53.96<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 13<\/span><\/strong><\/p>\n

Wetlands offer a diversity of benefits. They provide habitat for wildlife, spawning grounds for U.S. commercial fish, and renewable timber resources. In the last 200 years the United States has lost more than half its wetlands. Suppose\u00a0<\/span>Environmental Almanac<\/span><\/em>\u00a0gives the percentage of wet lands lost in each state in the last 200 years. Assume that for the lower 48 states, the percentage loss of wetlands per state is as follows:
\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n
\n

46<\/span><\/p>\n<\/td>\n

\n

37<\/span><\/p>\n<\/td>\n

\n

36<\/span><\/p>\n<\/td>\n

\n

42<\/span><\/p>\n<\/td>\n

\n

81<\/span><\/p>\n<\/td>\n

\n

20<\/span><\/p>\n<\/td>\n

\n

73<\/span><\/p>\n<\/td>\n

\n

59<\/span><\/p>\n<\/td>\n

\n

35<\/span><\/p>\n<\/td>\n

\n

50<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

87<\/span><\/p>\n<\/td>\n

\n

52<\/span><\/p>\n<\/td>\n

\n

24<\/span><\/p>\n<\/td>\n

\n

27<\/span><\/p>\n<\/td>\n

\n

38<\/span><\/p>\n<\/td>\n

\n

56<\/span><\/p>\n<\/td>\n

\n

39<\/span><\/p>\n<\/td>\n

\n

74<\/span><\/p>\n<\/td>\n

\n

56<\/span><\/p>\n<\/td>\n

\n

31<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

27<\/span><\/p>\n<\/td>\n

\n

91<\/span><\/p>\n<\/td>\n

\n

46<\/span><\/p>\n<\/td>\n

\n

9<\/span><\/p>\n<\/td>\n

\n

54<\/span><\/p>\n<\/td>\n

\n

52<\/span><\/p>\n<\/td>\n

\n

30<\/span><\/p>\n<\/td>\n

\n

33<\/span><\/p>\n<\/td>\n

\n

28<\/span><\/p>\n<\/td>\n

\n

35<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

35<\/span><\/p>\n<\/td>\n

\n

23<\/span><\/p>\n<\/td>\n

\n

90<\/span><\/p>\n<\/td>\n

\n

72<\/span><\/p>\n<\/td>\n

\n

85<\/span><\/p>\n<\/td>\n

\n

42<\/span><\/p>\n<\/td>\n

\n

59<\/span><\/p>\n<\/td>\n

\n

50<\/span><\/p>\n<\/td>\n

\n

49<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

48<\/span><\/p>\n<\/td>\n

\n

38<\/span><\/p>\n<\/td>\n

\n

60<\/span><\/p>\n<\/td>\n

\n

46<\/span><\/p>\n<\/td>\n

\n

87<\/span><\/p>\n<\/td>\n

\n

50<\/span><\/p>\n<\/td>\n

\n

89<\/span><\/p>\n<\/td>\n

\n

49<\/span><\/p>\n<\/td>\n

\n

67<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n


\u00a0<\/span><\/p>\n

The distribution is\u00a0<\/span>approximately\u00a0mound\u00a0shaped.<\/span><\/p>\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

True<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

False<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 14<\/span><\/strong><\/p>\n

1.\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span>Wing Foot is a shoe franchise commonly found in shopping centers across the United States. Wing Foot knows that its stores will not show a profit unless they gross over $940,000 per year. Let\u00a0<\/span>A<\/span><\/em>\u00a0be the event that a new Wing Foot store grosses over $940,000 its first year. Let\u00a0<\/span>B<\/span><\/em>\u00a0be the event that a store grosses over $940,000 its second year. Wing Foot has an administrative policy of closing a new store if it does not show a profit in either of the first two years. Assume that the accounting office at Wing Foot provided the following information: 56% of\u00a0<\/span>all<\/span><\/em>\u00a0Wing Foot stores show a profit the first year; 75% of\u00a0<\/span>all<\/span><\/em>\u00a0Wing Foot store show a profit the second year (this includes stores that did not show a profit the first year); however, 80% of Wing Foot stores that showed a profit the first year also showed a profit the second year. Compute\u00a0P(A and B), if\u00a0P(A) = 0.56,\u00a0P(B) = 0.75\u00a0and\u00a0P(B<\/span>|<\/span>A) = 0.80. Round your answer to the nearest hundredth.<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

0.80<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

0.51<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

0.70<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

0.45<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

0.94<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 15<\/span><\/strong><\/p>\n

1.\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span>How hot does it get in Death Valley? Assume that the following data are taken from a study conducted by the National Park System, of which Death Valley is a unit. The ground temperatureso<\/sup>F<\/em>\u00a0\u00a0were taken from May to November in the vicinity of Furnace Creek. Compute the median for these ground temperatures. Round your answer to the nearest tenth.
\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n\n\n
\n

148<\/span><\/p>\n<\/td>\n

\n

151<\/span><\/p>\n<\/td>\n

\n

168<\/span><\/p>\n<\/td>\n

\n

173<\/span><\/p>\n<\/td>\n

\n

194<\/span><\/p>\n<\/td>\n

\n

178<\/span><\/p>\n<\/td>\n

\n

193<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

194<\/span><\/p>\n<\/td>\n

\n

178<\/span><\/p>\n<\/td>\n

\n

178<\/span><\/p>\n<\/td>\n

\n

168<\/span><\/p>\n<\/td>\n

\n

163<\/span><\/p>\n<\/td>\n

\n

151<\/span><\/p>\n<\/td>\n

\n

144<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

170.5<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

193.5<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

341.0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

168.0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

159.5<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 16
<\/span><\/strong>Assume that the following data represent baseball batting averages (multiplied by 1000) for a random sample of National League players near the end of the baseball season. The frequency table showing class limits, class boundaries, midpoints and frequency is given below. Draw a histogram.
\"\"
\u00a0<\/span>\"\"<\/span><\/strong><\/p>\n\n\n\n\n\n
\n

\"\"<\/span><\/p>\n

\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

\"\"<\/span><\/p>\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

Boundaries<\/span><\/p>\n<\/td>\n

\n

Midpoint<\/span><\/p>\n<\/td>\n

\n

Frequency<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 17<\/span><\/strong><\/p>\n

1.\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span>There are 4 radar stations and the probability of a single radar station detecting an enemy plane is 0.55. Make a histogram for the probability distribution.
\u00a0<\/span><\/p>\n

\n\n\n\n\n\n\n\n\n
\n

r<\/span><\/em><\/strong><\/p>\n<\/td>\n

\n

p(r)<\/span><\/em><\/p>\n<\/td>\n<\/tr>\n

\n

0<\/span><\/p>\n<\/td>\n

\n

0.041<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1<\/span><\/p>\n<\/td>\n

\n

0.200<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

2<\/span><\/p>\n<\/td>\n

\n

0.368<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

3<\/span><\/p>\n<\/td>\n

\n

0.300<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

4<\/span><\/p>\n<\/td>\n

\n

0.092<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

\"\"\"\"\"\"<\/span><\/strong><\/p>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 18<\/span><\/strong><\/p>\n

1.\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span>Richard has been given a 9-question multiple-choice quiz in his history class. Each question has three answers, of which only one is correct. Since Richard has not attended the class recently, he doesn’t know any of the answers. What is the value of\u00a0<\/span>p<\/span><\/em>? (<\/span>p<\/span><\/em>\u00a0is the value of success) Round your answer to the nearest tenth.<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

0.3<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

9.0<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

3.0<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

2.7<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

27.0<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 19<\/span><\/strong><\/p>\n

In\u00a0baseball,\u00a0is there\u00a0a\u00a0linear\u00a0<\/span>correlation\u00a0between\u00a0batting<\/span>\u00a0average\u00a0and home\u00a0run \u00a0percentage? Let\u00a0<\/span>x<\/span><\/em>\u00a0<\/span>represent\u00a0the\u00a0batting<\/span>\u00a0average\u00a0of\u00a0a professional\u00a0baseball player.\u00a0Let\u00a0<\/span>y<\/span><\/em>\u00a0<\/span>represent\u00a0the\u00a0home<\/span>\u00a0<\/span>run\u00a0percentage\u00a0(number<\/span>\u00a0of\u00a0home\u00a0runs per\u00a0100 times\u00a0at bat).\u00a0Suppose\u00a0a random\u00a0sample\u00a0of baseball\u00a0players gave\u00a0the following\u00a0information.
\u00a0<\/span><\/p>\n\n\n\n\n
\n

x<\/span><\/em><\/p>\n<\/td>\n

\n

0.251<\/span><\/p>\n<\/td>\n

\n

0.259<\/span><\/p>\n<\/td>\n

\n

0.29<\/span><\/p>\n<\/td>\n

\n

0.265<\/span><\/p>\n<\/td>\n

\n

0.269<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

y<\/span><\/em><\/p>\n<\/td>\n

\n

1.3<\/span><\/p>\n<\/td>\n

\n

3.7<\/span><\/p>\n<\/td>\n

\n

5.8<\/span><\/p>\n<\/td>\n

\n

3.9<\/span><\/p>\n<\/td>\n

\n

3.7<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Make a scatter diagram for the data. Draw the line that best fits the data.<\/span><\/p>\n

\"\"\"\"\"\"\"\"\"\"<\/span><\/p>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 20<\/span><\/strong><\/p>\n

\"\"<\/span>Sand and clay studies were conducted at a site in California. Twelve consecutive depths, each about 15 cm deep, were studied and the following percentages of sand in the soil were recorded.
\u00a0<\/span><\/p>\n


\u00a0<\/span><\/p>\n\n\n\n\n
\n

34.0<\/span><\/p>\n<\/td>\n

\n

24.7<\/span><\/p>\n<\/td>\n

\n

33.7<\/span><\/p>\n<\/td>\n

\n

32.8<\/span><\/p>\n<\/td>\n

\n

25.8<\/span><\/p>\n<\/td>\n

\n

28.8<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/span><\/p>\n

Convert this sequence of numbers to a sequence of symbols\u00a0<\/span>A<\/span><\/em>\u00a0and\u00a0<\/span>B<\/span><\/em>, where\u00a0<\/span>A<\/span><\/em>\u00a0indicates a value above the median and\u00a0<\/span>B<\/span><\/em>\u00a0denotes a value below the median gives ABABABABAABB. The number of runs is 10. What is the lower critical number\u00a0<\/span>c<\/span><\/em>1<\/span><\/sub>?<\/span><\/p>\n

\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

\u00a01<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

4<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

\u00a02<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

\u00a05<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

\u00a03<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 21<\/span><\/strong><\/p>\n

The probability of a single radar station detecting an enemy plane is 0.75 and the probability of not detecting an enemy plane is 0.25. How many such stations are required to be 98% certain that an enemy plane flying over will be detected by at least one station?<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

2<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

none\u00a0of\u00a0these\u00a0choices<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

3<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

4<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

1<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 22<\/span><\/strong><\/p>\n

A professional employee in a large corporation receives an average of\u00a0<\/span>\u03bc<\/span><\/em>\u00a0<\/span>=<\/span>\u00a042.7 e-mails per day. Most of these e-mails are from other employees in the company. Because of the large number of e-mails, employees find themselves distracted and are unable to concentrate when they return to their tasks. In an effort to reduce distraction caused by such interruptions, one company established a priority list that all employees were to use before sending an e-mail. One month after the new priority list was put into place, a random sample of 38 employees showed that they were receiving an average of\u00a0<\/span>x<\/span><\/em>\u00a0=\u00a035.3 e-mails per day. The computer server through which the e-mails are routed showed that\u00a0<\/span>\u03c3<\/span><\/em>\u00a0=\u00a019.6. Has the new policy had any effect? Use a 5% level of significance to test the claim that there has been a change (either way) in the average number of e-mails received per day per employee. What is the value of the test statistic?<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

\u20130.061<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

0.378<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

\u20132.327<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

0.061<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

2.327<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 23<\/span><\/strong><\/p>\n

What was the age distribution of nurses in Great Britain at the time of Florence Nightingale? Thanks to Florence Nightingale and the British census of 1851, we have the following information (based on data from classic text Notes on Nursing, by Florence Nightingale).\u00a0<\/span>Note:<\/span><\/em>\u00a0In 1851 there were 25,466 nurses in Great Britain. Furthermore, Nightingale made a strict distinction between nurses and domestic servants. Find the probability that a British nurse selected at random in 1851 would be 70 years of age or older. Round your answer to nearest thousandth.
\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n
\n

Age range (yr)<\/span><\/p>\n<\/td>\n

\n

20\u201329<\/span><\/strong><\/p>\n<\/td>\n

\n

30\u201339<\/span><\/strong><\/p>\n<\/td>\n

\n

40\u201349<\/span><\/strong><\/p>\n<\/td>\n

\n

50\u201359<\/span><\/strong><\/p>\n<\/td>\n

\n

60\u201369<\/span><\/strong><\/p>\n<\/td>\n

\n

70\u201379<\/span><\/strong><\/p>\n<\/td>\n

\n

80+<\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

Midpoint (x<\/em>)<\/span><\/p>\n<\/td>\n

\n

24.5<\/span><\/p>\n<\/td>\n

\n

34.5<\/span><\/p>\n<\/td>\n

\n

44.5<\/span><\/p>\n<\/td>\n

\n

54.5<\/span><\/p>\n<\/td>\n

\n

64.5<\/span><\/p>\n<\/td>\n

\n

75.5<\/span><\/p>\n<\/td>\n

\n

84.5<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Percent of nurses<\/span><\/p>\n<\/td>\n

\n

5.7%<\/span><\/p>\n<\/td>\n

\n

9.7%<\/span><\/p>\n<\/td>\n

\n

19.5%<\/span><\/p>\n<\/td>\n

\n

29.2%<\/span><\/p>\n<\/td>\n

\n

25.0%<\/span><\/p>\n<\/td>\n

\n

9.1%<\/span><\/p>\n<\/td>\n

\n

1.8%<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

0.091<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

0.099<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

0.105<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

0.109<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 24<\/span><\/strong><\/p>\n

\"\"<\/span>Independent random samples from two regions in the same area gave the following chemical measurements (ppm). Assume the population distributions of the chemical are mound-shaped and symmetric for these two regions.
\u00a0<\/span><\/p>\n

Region I:\u00a0<\/span>;\u00a0<\/span>
\u00a0<\/span><\/p>\n

981 726 686 496 657 627 815 504 950 605 570 520
\u00a0<\/span><\/p>\n

Region II:\u00a0<\/span>;\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

1024 830 526 502 539 373 888 685 868 1093 1132 792 1081 722 1092 844
\u00a0<\/span><\/p>\n

Let\u00a0<\/span>\u00a0be the population mean and\u00a0<\/span>\u00a0be the population standard deviation for\u00a0<\/span>. Let\u00a0<\/span>\u00a0be the population mean and\u00a0<\/span>\u00a0be the population standard deviation for\u00a0<\/span>. Determine and examine the 90% confidence interval for\u00a0<\/span>. Does the interval consist of numbers that are all positive? all negative? or different signs? At the 90% level of confidence, is one region more interesting that the other from a geochemical perspective?<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

The interval contains both\u00a0positive\u00a0and\u00a0negative numbers. We can say at the required confidence level that one region is more interesting than the other.<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

The interval contains only\u00a0positive numbers. We can say at the required confidence level that one region is more interesting than the other.<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

The interval contains only\u00a0negative numbers. We cannot say at the required confidence level that one region is more interesting than the other.<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

The interval contains only\u00a0positive numbers. We cannot say at the required confidence level that one region is more interesting than the other.<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

The interval contains both\u00a0positive\u00a0and\u00a0negative numbers. We cannot say at the required confidence level that one region is more interesting than the other.<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 25<\/span><\/strong><\/p>\n

When do creative people get their\u00a0<\/span>good<\/span><\/em>\u00a0ideas? Assume that the survey of 963 inventors gives the following information:
\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n\n
\n

Time of Day When Good Ideas Occur<\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

Time<\/span><\/strong><\/p>\n<\/td>\n

\n

Number of Inventors<\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

6 A.M.\u00a0\u2013\u00a012 noon<\/span><\/p>\n<\/td>\n

\n

281<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

12 noon\u00a0\u2013\u00a06 P.M.<\/span><\/p>\n<\/td>\n

\n

120<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

6 P.M.\u00a0\u2013\u00a012 midnight<\/span><\/p>\n<\/td>\n

\n

320<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

12\u00a0midnight\u00a0\u2013\u00a06<\/span>\u00a0A.M.<\/span><\/p>\n<\/td>\n

\n

242<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Assuming that the time interval includes the left limit and all the times up to but not including the right limit, estimate the probability that an inventor has a good idea during the time interval from\u00a0<\/span>6\u00a0A.M.\u00a0to\u00a012\u00a0noon.<\/span>\u00a0Write your answer as a fraction in simplest form.<\/span><\/p>\n

\"\"<\/span><\/p>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 26<\/span><\/strong><\/p>\n

The systolic blood pressure of individuals is thought to be related to both age and weight. Let the systolic blood pressure, age, and weight be represented by the variables\u00a0<\/span>x<\/span><\/em>1<\/span><\/sub>,\u00a0<\/span>x<\/span><\/em>2<\/span><\/sub>, and\u00a0<\/span>x<\/span><\/em>3<\/span><\/sub>, respectively. Suppose that Minitab was used to generate the following descriptive statistics, correlations, and regression analysis for a random sample of 15 individuals.
\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n
\n

Descriptive Statistics<\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

Variable<\/span><\/p>\n<\/td>\n

\n

N<\/span><\/p>\n<\/td>\n

\n

Mean<\/span><\/p>\n<\/td>\n

\n

Median<\/span><\/p>\n<\/td>\n

\n

TrMean<\/span><\/p>\n<\/td>\n

\n

StDev<\/span><\/p>\n<\/td>\n

\n

SE Mean<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>1<\/span><\/sub><\/p>\n<\/td>\n

\n

15<\/span><\/p>\n<\/td>\n

\n

159.35<\/span><\/p>\n<\/td>\n

\n

159.65<\/span><\/p>\n<\/td>\n

\n

159.35<\/span><\/p>\n<\/td>\n

\n

3.401<\/span><\/p>\n<\/td>\n

\n

0.878134<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>2<\/span><\/sub><\/p>\n<\/td>\n

\n

15<\/span><\/p>\n<\/td>\n

\n

72.77<\/span><\/p>\n<\/td>\n

\n

73.77<\/span><\/p>\n<\/td>\n

\n

72.77<\/span><\/p>\n<\/td>\n

\n

1.722<\/span><\/p>\n<\/td>\n

\n

0.444618<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>3<\/span><\/sub><\/p>\n<\/td>\n

\n

15<\/span><\/p>\n<\/td>\n

\n

185.90<\/span><\/p>\n<\/td>\n

\n

185.20<\/span><\/p>\n<\/td>\n

\n

185.90<\/span><\/p>\n<\/td>\n

\n

4.266<\/span><\/p>\n<\/td>\n

\n

1.101476<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n


\u00a0<\/span><\/p>\n\n\n\n\n\n\n
\n

Variable<\/span><\/p>\n<\/td>\n

\n

Minimum<\/span><\/p>\n<\/td>\n

\n

Maximum<\/span><\/p>\n<\/td>\n

\n

Q1<\/span><\/p>\n<\/td>\n

\n

Q3<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>1<\/span><\/sub><\/p>\n<\/td>\n

\n

126<\/span><\/p>\n<\/td>\n

\n

173<\/span><\/p>\n<\/td>\n

\n

140.497<\/span><\/p>\n<\/td>\n

\n

166.049<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>2<\/span><\/sub><\/p>\n<\/td>\n

\n

45<\/span><\/p>\n<\/td>\n

\n

89<\/span><\/p>\n<\/td>\n

\n

47.721<\/span><\/p>\n<\/td>\n

\n

78.484<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>3<\/span><\/sub><\/p>\n<\/td>\n

\n

129<\/span><\/p>\n<\/td>\n

\n

249<\/span><\/p>\n<\/td>\n

\n

140.492<\/span><\/p>\n<\/td>\n

\n

222.010<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n


\u00a0<\/span><\/p>\n\n\n\n\n\n\n
\n

Correlations (Pearson)<\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

x<\/span><\/em>1<\/span><\/sub><\/p>\n<\/td>\n

\n

x<\/span><\/em>2<\/span><\/sub><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>2<\/span><\/sub><\/p>\n<\/td>\n

\n

0.848<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>3<\/span><\/sub><\/p>\n<\/td>\n

\n

0.817<\/span><\/p>\n<\/td>\n

\n

0.634<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Regression Analysis
<\/span><\/strong>\u00a0<\/span><\/p>\n

The regression equation is
\u00a0<\/span><\/p>\n

x<\/span><\/em>1<\/span><\/sub>\u00a0= 0.703 + 1.388<\/span>x<\/span><\/em>2<\/span><\/sub>\u00a0+ 0.907<\/span>x<\/span><\/em>3\u00a0<\/span><\/sub><\/p>\n

\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n
\n

Predictor<\/span><\/p>\n<\/td>\n

\n

Coef<\/span><\/p>\n<\/td>\n

\n

StDev<\/span><\/p>\n<\/td>\n

\n

T<\/span><\/p>\n<\/td>\n

\n

P<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Constant<\/span><\/p>\n<\/td>\n

\n

0.703<\/span><\/p>\n<\/td>\n

\n

0.495<\/span><\/p>\n<\/td>\n

\n

1.42<\/span><\/p>\n<\/td>\n

\n

0.091<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>2<\/span><\/sub><\/p>\n<\/td>\n

\n

1.388<\/span><\/p>\n<\/td>\n

\n

0.669<\/span><\/p>\n<\/td>\n

\n

2.07<\/span><\/p>\n<\/td>\n

\n

0.030<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>3<\/span><\/sub><\/p>\n<\/td>\n

\n

0.907<\/span><\/p>\n<\/td>\n

\n

0.390<\/span><\/p>\n<\/td>\n

\n

2.33<\/span><\/p>\n<\/td>\n

\n

0.019<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

S = 0.424<\/span><\/p>\n<\/td>\n

\n

R-sq = 92.5 %<\/span><\/p>\n<\/td>\n

\n

R-sq(adj) = 91.1 %<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Test the coefficient of\u00a0<\/span>\u00a0in the regression equation to determine if it is zero or not zero. Use a level of significance of 5%. \u00a0Do you accept or reject the null hypothesis that the coefficient should equal zero?<\/span><\/p>\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

accept<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

reject<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 27<\/span><\/strong><\/p>\n

How\u00a0much should\u00a0a healthy\u00a0Shetland pony\u00a0weigh? Let\u00a0<\/span>x<\/span><\/em>\u00a0be\u00a0the age\u00a0of the\u00a0pony (in\u00a0months), and\u00a0let\u00a0<\/span>y<\/span><\/em>\u00a0be\u00a0the average\u00a0weight of\u00a0the pony\u00a0(in kilograms).\u00a0Suppose a\u00a0random sample\u00a0of ponies\u00a0gave the\u00a0following information.
\u00a0<\/span><\/p>\n

Make a scatter diagram for the data.<\/span>4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

\"\"<\/span><\/strong><\/p>\n

\"\"\"\"\"\"\"\"<\/span><\/strong><\/p>\n

QUESTION 28<\/span><\/strong><\/p>\n

Draw a tree diagram to display all the possible head-tail sequences that can occur when you flip a coin foour\u00a0times.<\/span><\/p>\n

\"\"\"\"\"\"\"\"\"\"<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n<\/tr>\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n<\/tr>\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n<\/tr>\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n<\/tr>\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 29<\/span><\/strong><\/p>\n

Suppose automobile insurance companies gave annual premiums for top-rated companies in several states. The figure below shows box plots for the annual premium for urban customers in three states.
\u00a0\"\"<\/span><\/p>\n

Which state has the highest median premium?<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

Pennsylvania has the highest median premium.<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

California has the highest median premium.<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

Texas as well as California have the highest median premium.<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

Texas has the highest median premium.<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

none of these choices<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 30<\/span><\/strong><\/p>\n

1.\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span>Assume that the table below shows the age distribution of nurses in Great Britain in 1851. Make a histogram for the probability distribution.
\u00a0<\/span><\/p>\n\n\n\n\n\n
\n

Age range (yr)<\/span><\/p>\n<\/td>\n

\n

20\u201329<\/span><\/strong><\/p>\n<\/td>\n

\n

30\u201339<\/span><\/strong><\/p>\n<\/td>\n

\n

40\u201349<\/span><\/strong><\/p>\n<\/td>\n

\n

50\u201359<\/span><\/strong><\/p>\n<\/td>\n

\n

60\u201369<\/span><\/strong><\/p>\n<\/td>\n

\n

70\u201379<\/span><\/strong><\/p>\n<\/td>\n

\n

80+<\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

Midpoint (x<\/em>)<\/span><\/p>\n<\/td>\n

\n

24.5<\/span><\/p>\n<\/td>\n

\n

34.5<\/span><\/p>\n<\/td>\n

\n

44.5<\/span><\/p>\n<\/td>\n

\n

54.5<\/span><\/p>\n<\/td>\n

\n

64.5<\/span><\/p>\n<\/td>\n

\n

75.5<\/span><\/p>\n<\/td>\n

\n

84.5<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Percent of nurses<\/span><\/p>\n<\/td>\n

\n

9.8%<\/span><\/p>\n<\/td>\n

\n

5.6%<\/span><\/p>\n<\/td>\n

\n

19.4%<\/span><\/p>\n<\/td>\n

\n

24.9%<\/span><\/p>\n<\/td>\n

\n

29.3%<\/span><\/p>\n<\/td>\n

\n

9.3%<\/span><\/p>\n<\/td>\n

\n

1.7%<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\"\"<\/span><\/strong><\/p>\n

\"\"<\/span><\/strong><\/p>\n

\"\"<\/span><\/strong><\/p>\n

\u00a0<\/span><\/strong><\/p>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 31<\/span><\/strong><\/p>\n

The systolic blood pressure of individuals is thought to be related to both age and weight. Let the systolic blood pressure, age, and weight be represented by the variables\u00a0<\/span>x<\/span><\/em>1<\/span><\/sub>,\u00a0<\/span>x<\/span><\/em>2<\/span><\/sub>, and\u00a0<\/span>x<\/span><\/em>3<\/span><\/sub>, respectively. Suppose that Minitab was used to generate the following descriptive statistics, correlations, and regression analysis for a random sample of 15 individuals.
\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n
\n

Descriptive Statistics<\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

Variable<\/span><\/p>\n<\/td>\n

\n

N<\/span><\/p>\n<\/td>\n

\n

Mean<\/span><\/p>\n<\/td>\n

\n

Median<\/span><\/p>\n<\/td>\n

\n

TrMean<\/span><\/p>\n<\/td>\n

\n

StDev<\/span><\/p>\n<\/td>\n

\n

SE Mean<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>1<\/span><\/sub><\/p>\n<\/td>\n

\n

15<\/span><\/p>\n<\/td>\n

\n

155.56<\/span><\/p>\n<\/td>\n

\n

156.06<\/span><\/p>\n<\/td>\n

\n

155.56<\/span><\/p>\n<\/td>\n

\n

3.815<\/span><\/p>\n<\/td>\n

\n

0.985029<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>2<\/span><\/sub><\/p>\n<\/td>\n

\n

15<\/span><\/p>\n<\/td>\n

\n

63.42<\/span><\/p>\n<\/td>\n

\n

64.02<\/span><\/p>\n<\/td>\n

\n

63.42<\/span><\/p>\n<\/td>\n

\n

1.226<\/span><\/p>\n<\/td>\n

\n

0.316552<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>3<\/span><\/sub><\/p>\n<\/td>\n

\n

15<\/span><\/p>\n<\/td>\n

\n

195.04<\/span><\/p>\n<\/td>\n

\n

194.64<\/span><\/p>\n<\/td>\n

\n

195.04<\/span><\/p>\n<\/td>\n

\n

4.164<\/span><\/p>\n<\/td>\n

\n

1.075140<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/span><\/p>\n\n\n\n\n\n\n
\n

Variable<\/span><\/p>\n<\/td>\n

\n

Minimum<\/span><\/p>\n<\/td>\n

\n

Maximum<\/span><\/p>\n<\/td>\n

\n

Q1<\/span><\/p>\n<\/td>\n

\n

Q3<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>1<\/span><\/sub><\/p>\n<\/td>\n

\n

126<\/span><\/p>\n<\/td>\n

\n

179<\/span><\/p>\n<\/td>\n

\n

144.445<\/span><\/p>\n<\/td>\n

\n

165.050<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>2<\/span><\/sub><\/p>\n<\/td>\n

\n

42<\/span><\/p>\n<\/td>\n

\n

83<\/span><\/p>\n<\/td>\n

\n

47.888<\/span><\/p>\n<\/td>\n

\n

77.461<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>3<\/span><\/sub><\/p>\n<\/td>\n

\n

120<\/span><\/p>\n<\/td>\n

\n

250<\/span><\/p>\n<\/td>\n

\n

139.698<\/span><\/p>\n<\/td>\n

\n

222.040<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/span><\/p>\n\n\n\n\n\n\n
\n

Correlations (Pearson)<\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

x<\/span><\/em>1<\/span><\/sub><\/p>\n<\/td>\n

\n

x<\/span><\/em>2<\/span><\/sub><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>2<\/span><\/sub><\/p>\n<\/td>\n

\n

0.870<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>3<\/span><\/sub><\/p>\n<\/td>\n

\n

0.802<\/span><\/p>\n<\/td>\n

\n

0.517<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Regression Analysis
<\/span><\/strong>\u00a0<\/span><\/p>\n

The regression equation is
\u00a0<\/span><\/p>\n

x<\/span><\/em>1<\/span><\/sub>\u00a0= 0.804 + 1.308<\/span>x<\/span><\/em>2<\/span><\/sub>\u00a0+ 0.966<\/span>x<\/span><\/em>3\u00a0<\/span><\/sub><\/p>\n

\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n
\n

Predictor<\/span><\/p>\n<\/td>\n

\n

Coef<\/span><\/p>\n<\/td>\n

\n

StDev<\/span><\/p>\n<\/td>\n

\n

T<\/span><\/p>\n<\/td>\n

\n

P<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Constant<\/span><\/p>\n<\/td>\n

\n

0.804<\/span><\/p>\n<\/td>\n

\n

0.692<\/span><\/p>\n<\/td>\n

\n

1.16<\/span><\/p>\n<\/td>\n

\n

0.134<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>2<\/span><\/sub><\/p>\n<\/td>\n

\n

1.308<\/span><\/p>\n<\/td>\n

\n

0.732<\/span><\/p>\n<\/td>\n

\n

1.79<\/span><\/p>\n<\/td>\n

\n

0.050<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

x<\/span><\/em>3<\/span><\/sub><\/p>\n<\/td>\n

\n

0.966<\/span><\/p>\n<\/td>\n

\n

0.705<\/span><\/p>\n<\/td>\n

\n

1.37<\/span><\/p>\n<\/td>\n

\n

0.098<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

S = 0.319<\/span><\/p>\n<\/td>\n

\n

R-sq = 90.6 %<\/span><\/p>\n<\/td>\n

\n

R-sq(adj) = 92.6 %<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Relative to its mean, which variable has the smallest spread of data values?<\/span><\/p>\n

a.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span>X1<\/sub><\/span><\/p>\n

b.\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span>X2<\/sub><\/span><\/p>\n

c.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span>X3<\/sub><\/span><\/p>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 32<\/span><\/strong><\/p>\n

\"\"<\/span>Rothamsted Experimental Station (England) has studied wheat production since 1852. Each year many small plots of equal size but different soil\/fertilizer conditions are planted with wheat. At the end of the growing season, the yield (in pounds) of the wheat on the plot is measured. Suppose for a random sample of years, one plot gave the following annual wheat production (in pounds):
\u00a0<\/span><\/p>\n\n\n\n\n
\n

4.28<\/span><\/p>\n<\/td>\n

\n

4.36<\/span><\/p>\n<\/td>\n

\n

4.43<\/span><\/p>\n<\/td>\n

\n

4.92<\/span><\/p>\n<\/td>\n

\n

5.16<\/span><\/p>\n<\/td>\n

\n

4.13<\/span><\/p>\n<\/td>\n

\n

2.52<\/span><\/p>\n<\/td>\n

\n

4.52<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

4.50<\/span><\/p>\n<\/td>\n

\n

3.02<\/span><\/p>\n<\/td>\n

\n

2.55<\/span><\/p>\n<\/td>\n

\n

3.53<\/span><\/p>\n<\/td>\n

\n

4.75<\/span><\/p>\n<\/td>\n

\n

3.67<\/span><\/p>\n<\/td>\n

\n

3.20<\/span><\/p>\n<\/td>\n

\n

4.38<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

For this plot, the sample variance is\u00a0<\/span>. Another random sample of years for a second plot gave the following annual wheat production (in pounds):
\u00a0<\/span><\/p>\n\n\n\n\n
\n

3.76<\/span><\/p>\n<\/td>\n

\n

3.94<\/span><\/p>\n<\/td>\n

\n

3.95<\/span><\/p>\n<\/td>\n

\n

3.80<\/span><\/p>\n<\/td>\n

\n

3.70<\/span><\/p>\n<\/td>\n

\n

3.74<\/span><\/p>\n<\/td>\n

\n

4.06<\/span><\/p>\n<\/td>\n

\n

3.94<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

3.98<\/span><\/p>\n<\/td>\n

\n

4.04<\/span><\/p>\n<\/td>\n

\n

3.85<\/span><\/p>\n<\/td>\n

\n

3.94<\/span><\/p>\n<\/td>\n

\n

3.89<\/span><\/p>\n<\/td>\n

\n

4.05<\/span><\/p>\n<\/td>\n

\n

3.88<\/span><\/p>\n<\/td>\n

\n

4.04<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

For this plot, the sample variance is\u00a0<\/span>. Test the claim using\u00a0<\/span>\u00a0that the population variance of annual wheat production for the first plot is larger than that for the second plot.
\u00a0<\/span><\/p>\n

What are the degrees of freedom?<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

\u00a014;\u00a0<\/span>\u00a015<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

\u00a015;\u00a0<\/span>\u00a015<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

\u00a014;\u00a0<\/span>\u00a016<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

\u00a015;\u00a0<\/span>\u00a014<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

\u00a016;\u00a0<\/span>\u00a014<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 33<\/span><\/strong><\/p>\n

\"\"<\/span>A random sample of\u00a0<\/span>\u00a0communities in western Kansas gave the following information for people under 25 years of age.<\/span><\/p>\n

: Rate of hay fever per 1000 population for people under 25<\/span><\/p>\n

A random sample of \u00a0<\/span>\u00a0regions in western Kansas gave the following information for people over 50 years old.<\/span><\/p>\n

: Rate of hay fever per 1000 population for people over 50<\/span><\/p>\n

Assume that the hay fever rate in each age group has an approximately normal distribution. Do the data indicate that the age group over 50 has a lower rate of hay fever? Use a\u00a0=\u00a00.05 State the null and alternate hypotheses.<\/span><\/p>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 34<\/span><\/strong><\/p>\n

Are customers more loyal in the East or in the West? The following table is based on information from Trends in the United Sates, published by the food marketing Institute, Washington, D.C. The columns represent loyalty (in years) at a primary supermarket. The rows represent regions of the United States.
\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n\n
\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

Less Than<\/span><\/strong><\/p>\n

1 Year\u00a0<\/span><\/strong><\/p>\n<\/td>\n

\n

1\u00a0\u2013\u00a02<\/span><\/strong><\/p>\n

Years<\/span><\/strong><\/p>\n<\/td>\n

\n

3\u00a0\u2013\u00a04 Years<\/span><\/strong><\/p>\n<\/td>\n

\n

5\u00a0\u2013\u00a09 Years<\/span><\/strong><\/p>\n<\/td>\n

\n

10\u00a0\u2013\u00a014 Years<\/span><\/strong><\/p>\n<\/td>\n

\n

15 or More Years<\/span><\/strong><\/p>\n<\/td>\n

\n

Row Total<\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

East<\/span><\/p>\n<\/td>\n

\n

32<\/span><\/p>\n<\/td>\n

\n

54<\/span><\/p>\n<\/td>\n

\n

59<\/span><\/p>\n<\/td>\n

\n

112<\/span><\/p>\n<\/td>\n

\n

77<\/span><\/p>\n<\/td>\n

\n

118<\/span><\/p>\n<\/td>\n

\n

452<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Midwest<\/span><\/p>\n<\/td>\n

\n

31<\/span><\/p>\n<\/td>\n

\n

68<\/span><\/p>\n<\/td>\n

\n

68<\/span><\/p>\n<\/td>\n

\n

120<\/span><\/p>\n<\/td>\n

\n

63<\/span><\/p>\n<\/td>\n

\n

173<\/span><\/p>\n<\/td>\n

\n

523<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

South<\/span><\/p>\n<\/td>\n

\n

53<\/span><\/p>\n<\/td>\n

\n

92<\/span><\/p>\n<\/td>\n

\n

93<\/span><\/p>\n<\/td>\n

\n

158<\/span><\/p>\n<\/td>\n

\n

106<\/span><\/p>\n<\/td>\n

\n

158<\/span><\/p>\n<\/td>\n

\n

660<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

West<\/span><\/p>\n<\/td>\n

\n

41<\/span><\/p>\n<\/td>\n

\n

56<\/span><\/p>\n<\/td>\n

\n

67<\/span><\/p>\n<\/td>\n

\n

78<\/span><\/p>\n<\/td>\n

\n

45<\/span><\/p>\n<\/td>\n

\n

86<\/span><\/p>\n<\/td>\n

\n

373<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Column Total<\/span><\/p>\n<\/td>\n

\n

157<\/span><\/p>\n<\/td>\n

\n

270<\/span><\/p>\n<\/td>\n

\n

287<\/span><\/p>\n<\/td>\n

\n

468<\/span><\/p>\n<\/td>\n

\n

291<\/span><\/p>\n<\/td>\n

\n

535<\/span><\/p>\n<\/td>\n

\n

2008<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

What is the probability that a customer chosen at random has been loyal\u00a0<\/span>5\u00a0or\u00a0more\u00a0years<\/span>\u00a0given that he or she is from the South? Round your answer to the nearest thousandth.<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

0.210<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

0.326<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

0.639<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

0.417<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

none of these choices<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 35<\/span><\/strong><\/p>\n

Assume that about 30% of all U.S. adults try to pad their insurance claims. Suppose that you are the director of an insurance adjustment office. Your office has just received 140 insurance claims to be processed in the next few days. What is the probability that from 45 to 47 of the claims have been padded?<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

0.167<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

0.119<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

0.104<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

0.056<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

0.222<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 36<\/span><\/strong><\/p>\n

What percentage of the general U.S. population have bachelor\u2019s degrees? Suppose that the Statistical Abstract of the United States, 120th Edition, gives the following percentage of bachelor\u2019s degrees by state. For convenience, the data are sorted in increasing order.
\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n
\n

17<\/span><\/p>\n<\/td>\n

\n

18<\/span><\/p>\n<\/td>\n

\n

18<\/span><\/p>\n<\/td>\n

\n

18<\/span><\/p>\n<\/td>\n

\n

19<\/span><\/p>\n<\/td>\n

\n

20<\/span><\/p>\n<\/td>\n

\n

20<\/span><\/p>\n<\/td>\n

\n

20<\/span><\/p>\n<\/td>\n

\n

21<\/span><\/p>\n<\/td>\n

\n

21<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

21<\/span><\/p>\n<\/td>\n

\n

21<\/span><\/p>\n<\/td>\n

\n

21<\/span><\/p>\n<\/td>\n

\n

22<\/span><\/p>\n<\/td>\n

\n

22<\/span><\/p>\n<\/td>\n

\n

22<\/span><\/p>\n<\/td>\n

\n

22<\/span><\/p>\n<\/td>\n

\n

22<\/span><\/p>\n<\/td>\n

\n

23<\/span><\/p>\n<\/td>\n

\n

23<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

24<\/span><\/p>\n<\/td>\n

\n

24<\/span><\/p>\n<\/td>\n

\n

24<\/span><\/p>\n<\/td>\n

\n

24<\/span><\/p>\n<\/td>\n

\n

24<\/span><\/p>\n<\/td>\n

\n

25<\/span><\/p>\n<\/td>\n

\n

25<\/span><\/p>\n<\/td>\n

\n

25<\/span><\/p>\n<\/td>\n

\n

25<\/span><\/p>\n<\/td>\n

\n

26<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

26<\/span><\/p>\n<\/td>\n

\n

26<\/span><\/p>\n<\/td>\n

\n

26<\/span><\/p>\n<\/td>\n

\n

26<\/span><\/p>\n<\/td>\n

\n

26<\/span><\/p>\n<\/td>\n

\n

27<\/span><\/p>\n<\/td>\n

\n

27<\/span><\/p>\n<\/td>\n

\n

27<\/span><\/p>\n<\/td>\n

\n

28<\/span><\/p>\n<\/td>\n

\n

28<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

28<\/span><\/p>\n<\/td>\n

\n

29<\/span><\/p>\n<\/td>\n

\n

29<\/span><\/p>\n<\/td>\n

\n

31<\/span><\/p>\n<\/td>\n

\n

31<\/span><\/p>\n<\/td>\n

\n

32<\/span><\/p>\n<\/td>\n

\n

32<\/span><\/p>\n<\/td>\n

\n

34<\/span><\/p>\n<\/td>\n

\n

35<\/span><\/p>\n<\/td>\n

\n

38<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Illinois has a bachelor\u2019s degree percentage rate of about 18%. Into what quartile does this rate fall?<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

second\u00a0quartile<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

first\u00a0quartile<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

third\u00a0quartile<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

first quartile as well as second quartile<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

none of these choices<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 37<\/span><\/strong><\/p>\n

\"\"<\/span>Wing Foot is a shoe franchise commonly found in shopping centers across the United States. Wing Foot knows that its stores will not show a profit unless they gross over $940,000 per year. Let\u00a0<\/span>A<\/span><\/em>\u00a0be the event that a new Wing Foot store grosses over $940,000 its first year. Let\u00a0<\/span>B<\/span><\/em>\u00a0be the event that a store grosses over $940,000 its second year. Wing Foot has an administrative policy of closing a new store if it does not show a profit in either of the first two years. Assume that the accounting office at Wing Foot provided the following information: 61% of\u00a0<\/span>all<\/span><\/em>\u00a0Wing Foot stores show a profit the first year; 72% of\u00a0<\/span>all<\/span><\/em>\u00a0Wing Foot store show a profit the second year (this includes stores that did not show a profit the first year); however, 87% of Wing Foot stores that showed a profit the first year also showed a profit the second year. Compute\u00a0<\/span>\u00a0if\u00a0<\/span>,\u00a0<\/span>, and\u00a0<\/span>. Round your answer to the nearest hundredth.<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

0.46<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

0.44<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

0.76<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

0.80<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

0.87<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 38<\/span><\/strong><\/p>\n

How long did real cowboys live? One answer may be found in the book\u00a0<\/span>The Last Cowboys<\/span><\/em>\u00a0by Connie Brooks (University of New Mexico Press). This delightful book presents a thoughtful sociological study of cowboys in West Texas and Southeastern New Mexico around the year 1890. Assume that a sample of 32 cowboys gave the following years of longevity:
\u00a0<\/span><\/p>\n\n\n\n\n\n
\n

59<\/span><\/p>\n<\/td>\n

\n

52<\/span><\/p>\n<\/td>\n

\n

67<\/span><\/p>\n<\/td>\n

\n

86<\/span><\/p>\n<\/td>\n

\n

72<\/span><\/p>\n<\/td>\n

\n

66<\/span><\/p>\n<\/td>\n

\n

99<\/span><\/p>\n<\/td>\n

\n

89<\/span><\/p>\n<\/td>\n

\n

84<\/span><\/p>\n<\/td>\n

\n

91<\/span><\/p>\n<\/td>\n

\n

91<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

92<\/span><\/p>\n<\/td>\n

\n

69<\/span><\/p>\n<\/td>\n

\n

68<\/span><\/p>\n<\/td>\n

\n

87<\/span><\/p>\n<\/td>\n

\n

86<\/span><\/p>\n<\/td>\n

\n

73<\/span><\/p>\n<\/td>\n

\n

61<\/span><\/p>\n<\/td>\n

\n

71<\/span><\/p>\n<\/td>\n

\n

75<\/span><\/p>\n<\/td>\n

\n

72<\/span><\/p>\n<\/td>\n

\n

73<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

85<\/span><\/p>\n<\/td>\n

\n

84<\/span><\/p>\n<\/td>\n

\n

91<\/span><\/p>\n<\/td>\n

\n

57<\/span><\/p>\n<\/td>\n

\n

77<\/span><\/p>\n<\/td>\n

\n

76<\/span><\/p>\n<\/td>\n

\n

84<\/span><\/p>\n<\/td>\n

\n

93<\/span><\/p>\n<\/td>\n

\n

58<\/span><\/p>\n<\/td>\n

\n

49<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Make a stem-and-leaf display for these data.<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

4\u00a09 = 49\u00a0years
4 9 \u00a0
5 9 8 7 2
6 9 8 7 6 1
7 7 6 5 3 3 2 2 1
8 9 7 6 6 5 4 4 4
9 9 9 3 2 1 1 1<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

4\u00a09 = 49\u00a0years
4 9 \u00a0
5 2 7 8 9
6 1 6 7 8
7 1 2 2 3 3 5 7 8
8 3 4 4 5 6 6 7 9
9 1 1 1 2 3 9 9<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

4\u00a09 = 49\u00a0years
4 9 \u00a0
5 9 8 7 2
6 8 7 6 1
7 8 6 5 4 3 2 2 1
8 9 7 6 6 5 4 4 3
9 9 9 3 2 1 1 1<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

4\u00a09 = 49\u00a0years
4 9 \u00a0
5 2 7 8 9
6 1 6 7 8 9
7 1 2 2 3 3 5 6 7
8 4 4 4 5 6 6 7 9
9 1 1 1 2 3 9<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

none of these choices<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 39<\/span><\/strong><\/p>\n

Wind Mountain is an archaeological study area located in southwestern New Mexico. Potsherds are broken pieces of prehistoric Native American clay vessels. One type of painted ceramic vessel is called\u00a0<\/span>Mimbres classic black-on-white.<\/span><\/em>\u00a0At three different sites the number of such sherds was counted in local dwelling excavations.
\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n
\n

Site I<\/span><\/p>\n<\/td>\n

\n

Site II<\/span><\/p>\n<\/td>\n

\n

Site III<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

51<\/span><\/p>\n<\/td>\n

\n

34<\/span><\/p>\n<\/td>\n

\n

18<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

46<\/span><\/p>\n<\/td>\n

\n

46<\/span><\/p>\n<\/td>\n

\n

22<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

57<\/span><\/p>\n<\/td>\n

\n

53<\/span><\/p>\n<\/td>\n

\n

44<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

44<\/span><\/p>\n<\/td>\n

\n

59<\/span><\/p>\n<\/td>\n

\n

23<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

18<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

61<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

33<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

40<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

15<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Shall we reject or not reject the claim that there is no difference in population mean Mimbres classic black-on-white sherd counts for the three sites? Test given\u00a0a<\/em> = 0.01.
\u00a0<\/span><\/p>\n

Find (or estimate) the P-value of the sample test statistic.<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

P-Value\u00a0=\u00a00.01<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

0.05\u00a0<\u00a0P-Value\u00a0<\u00a00.1<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

P-Value\u00a0=\u00a00.05<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

P-Value\u00a0>\u00a00.1<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

0.01\u00a0<\u00a0P-Value\u00a0<\u00a00.05<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 40<\/span><\/strong><\/p>\n

Jim has a 5-year-old car in reasonably good condition. He wants to take out a $50,000 term (that is, accident benefit) car insurance policy until the car is 10 years old. Assume that the probability of a car having an accident in the year in which it is\u00a0<\/span>x<\/span><\/em>\u00a0years old is as follows:
\u00a0<\/span><\/p>\n\n\n\n\n
\n

x<\/span><\/em>\u00a0= age<\/span><\/p>\n<\/td>\n

\n

5<\/span><\/p>\n<\/td>\n

\n

6<\/span><\/p>\n<\/td>\n

\n

7<\/span><\/p>\n<\/td>\n

\n

8<\/span><\/p>\n<\/td>\n

\n

9<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

P<\/span><\/em>(accident)<\/span><\/p>\n<\/td>\n

\n

0.01182<\/span><\/p>\n<\/td>\n

\n

0.01282<\/span><\/p>\n<\/td>\n

\n

0.01386<\/span><\/p>\n<\/td>\n

\n

0.01513<\/span><\/p>\n<\/td>\n

\n

0.01602<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Jim is applying to a car insurance company for his car insurance policy. Using the probabilities that the car will have an accident in its 5th, 6th, 7th, 8th, or 9th year, and the $50,000 accident benefit, what is the expected loss to Car Insurance Company for the respective years? Round your answers to the nearest dollar.<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

$591, $641, $693, $747, $801<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

$591, $646, $693, $747, $801<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

$591, $641, $693, $757, $801<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

$581, $641, $693, $747, $801<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

$581, $646, $693, $757, $801<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 41<\/span><\/strong><\/p>\n

Finish times (to the nearest hour) for 57 dogsled teams are shown below. Use five classes. Categorize the basic distribution shape as uniform, mound-shaped symmetric, bimodal, skewed left, or skewed right.
\u00a0\"\"<\/span><\/p>\n

The relative frequency histogram of the above data is given below.<\/span><\/p>\n

\"\"<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

Bimodal<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

none\u00a0of\u00a0these\u00a0choices<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

mound-shaped\u00a0symmetric<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

approximately\u00a0mound-shaped symmetric<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

Skewed right<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 42<\/span><\/strong><\/p>\n

Does\u00a0talking\u00a0while walking\u00a0slow\u00a0you down?\u00a0Suppose\u00a0a\u00a0<\/span>study\u00a0considered\u00a0mean<\/span>\u00a0<\/span>cadence\u00a0(steps\u00a0per<\/span>\u00a0<\/span>minute)\u00a0for\u00a0subjects<\/span>\u00a0using\u00a0no\u00a0walking\u00a0<\/span>device,\u00a0a\u00a0standard<\/span>\u00a0walker,\u00a0and\u00a0a rolling\u00a0walker. In addition, the cadence was measured when the subjects had to perform dual tasks. The\u00a0second task\u00a0was to\u00a0respond vocally\u00a0to a signal\u00a0or respond\u00a0to an\u00a0interview question\u00a0while walking.\u00a0<\/span>Cadence\u00a0was\u00a0measured\u00a0for<\/span>\u00a0<\/span>subjects\u00a0who\u00a0were\u00a0just<\/span>\u00a0<\/span>walking\u00a0(using\u00a0no\u00a0walking<\/span>\u00a0<\/span>device,\u00a0a\u00a0standard\u00a0walker,<\/span>\u00a0<\/span>or\u00a0a\u00a0rolling\u00a0walker),<\/span>\u00a0<\/span>for\u00a0subjects\u00a0required\u00a0to<\/span>\u00a0<\/span>respond\u00a0to\u00a0a\u00a0signal,<\/span>\u00a0<\/span>and\u00a0for\u00a0subjects\u00a0required<\/span>\u00a0<\/span>to\u00a0respond\u00a0to\u00a0an<\/span>\u00a0<\/span>interview\u00a0question\u00a0while\u00a0walking.<\/span>\u00a0How many cells are there in the data table?<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

9<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

8<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

7<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

12<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

1<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 43<\/span><\/strong><\/p>\n

John runs a computer software store. He counted 125 people who walked by his store in a day, 51 of whom came into the store. Of the 51, only 23 bought something in the store. Estimate the probability that a person who comes into the store will buy nothing. Round your answer to the nearest hundredth.<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

0.82<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

0.59<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

0.22<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

0.55<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

none of these choices<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 44<\/span><\/strong><\/p>\n

Diagnostic tests of medical conditions have several results. The rest result can be positive or negative. A positive test (+) indicates the patient has the condition. A negative test (\u2013) indicates the patient does not have the condition. Remember, a positive test does not prove the patient has the condition. Additional medical work may be required. Consider a random sample of 137 patients, some of whom have a medical condition and some of whom do not. Results of a new diagnostic test for the condition are shown.
\u00a0<\/span><\/p>\n\n\n\n\n\n\n
\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

Condition Present<\/span><\/strong><\/p>\n<\/td>\n

\n

Condition Absent<\/span><\/strong><\/p>\n<\/td>\n

\n

Row Total<\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

\n

Test Result +<\/span><\/p>\n<\/td>\n

\n

119<\/span><\/p>\n<\/td>\n

\n

18<\/span><\/p>\n<\/td>\n

\n

137<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Test Result \u2013<\/span><\/p>\n<\/td>\n

\n

18<\/span><\/p>\n<\/td>\n

\n

46<\/span><\/p>\n<\/td>\n

\n

64<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Column Total<\/span><\/p>\n<\/td>\n

\n

137<\/span><\/p>\n<\/td>\n

\n

64<\/span><\/p>\n<\/td>\n

\n

201<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Assume that the sample is representative of the entire population. For a person selected at random, find\u00a0<\/span>P<\/span><\/em>(getting\u00a0test\u00a0result\u00a0\u2013<\/span>\u00a0or condition\u00a0present). Round your answer to the nearest hundredth.<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

0.91<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

0.28<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

0.09<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

0.13<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

none of these choices<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 45<\/span><\/strong><\/p>\n

1.\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span>Suppose a certain species bird has an average weight of\u00a0x = 3.80\u00a0grams. Based on previous studies, we can assume that the weights of these birds have a normal distribution with\u00a0o = 0.37 grams. For a small group of 10 birds, find the margin of error for a 70% confidence interval for the average weights of these birds.<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

0.06 grams<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

0.02 grams<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

1.04 grams<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

0.12 grams<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

0.04 grams<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 46<\/span><\/strong><\/p>\n

Finish times (to the nearest hour) for 57 dogsled teams are shown below. Draw a\u00a0<\/span>relative\u00a0\u2013\u00a0frequency<\/span>\u00a0histogram. Use five classes.
\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

261<\/span><\/p>\n<\/td>\n

\n

270<\/span><\/p>\n<\/td>\n

\n

236<\/span><\/p>\n<\/td>\n

\n

244<\/span><\/p>\n<\/td>\n

\n

280<\/span><\/p>\n<\/td>\n

\n

296<\/span><\/p>\n<\/td>\n

\n

284<\/span><\/p>\n<\/td>\n

\n

298<\/span><\/p>\n<\/td>\n

\n

289<\/span><\/p>\n<\/td>\n

\n

289<\/span><\/p>\n<\/td>\n

\n

248<\/span><\/p>\n<\/td>\n

\n

256<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

338<\/span><\/p>\n<\/td>\n

\n

360<\/span><\/p>\n<\/td>\n

\n

341<\/span><\/p>\n<\/td>\n

\n

333<\/span><\/p>\n<\/td>\n

\n

261<\/span><\/p>\n<\/td>\n

\n

267<\/span><\/p>\n<\/td>\n

\n

287<\/span><\/p>\n<\/td>\n

\n

296<\/span><\/p>\n<\/td>\n

\n

313<\/span><\/p>\n<\/td>\n

\n

311<\/span><\/p>\n<\/td>\n

\n

309<\/span><\/p>\n<\/td>\n

\n

309<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

299<\/span><\/p>\n<\/td>\n

\n

303<\/span><\/p>\n<\/td>\n

\n

277<\/span><\/p>\n<\/td>\n

\n

283<\/span><\/p>\n<\/td>\n

\n

304<\/span><\/p>\n<\/td>\n

\n

305<\/span><\/p>\n<\/td>\n

\n

288<\/span><\/p>\n<\/td>\n

\n

290<\/span><\/p>\n<\/td>\n

\n

288<\/span><\/p>\n<\/td>\n

\n

289<\/span><\/p>\n<\/td>\n

\n

297<\/span><\/p>\n<\/td>\n

\n

299<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

332<\/span><\/p>\n<\/td>\n

\n

330<\/span><\/p>\n<\/td>\n

\n

309<\/span><\/p>\n<\/td>\n

\n

328<\/span><\/p>\n<\/td>\n

\n

309<\/span><\/p>\n<\/td>\n

\n

328<\/span><\/p>\n<\/td>\n

\n

285<\/span><\/p>\n<\/td>\n

\n

291<\/span><\/p>\n<\/td>\n

\n

295<\/span><\/p>\n<\/td>\n

\n

298<\/span><\/p>\n<\/td>\n

\n

306<\/span><\/p>\n<\/td>\n

\n

315<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

310<\/span><\/p>\n<\/td>\n

\n

318<\/span><\/p>\n<\/td>\n

\n

318<\/span><\/p>\n<\/td>\n

\n

320<\/span><\/p>\n<\/td>\n

\n

333<\/span><\/p>\n<\/td>\n

\n

321<\/span><\/p>\n<\/td>\n

\n

323<\/span><\/p>\n<\/td>\n

\n

324<\/span><\/p>\n<\/td>\n

\n

327<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 47<\/span><\/strong><\/p>\n

In one of the archaeological excavation sites, the artifact density (number of prehistoric artifacts per 10 liters of sediment) was\u00a0<\/span>. Suppose you are going to dig up and examine\u00a0<\/span>\u00a0liters of sediment at this site. Let \u00a0<\/span>0, 1, 2, 3,\u2026 be a random variable that represents the number of prehistoric artifacts found in your\u00a0<\/span>\u00a0liters of sediment. Find the probability that you will find fewer than\u00a0<\/span>\u00a0prehistoric artifacts in the\u00a0<\/span>\u00a0liters of sediment. Round your answer to the nearest ten thousandth.<\/span><\/p>\n

\"\"\"\"\"\"\"\"\"\"<\/span><\/p>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 48<\/span><\/strong><\/p>\n

1.\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span>A coin is to be tossed 1000 times. What is the probability that the 785th toss is heads?<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

3\/4<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

0<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

1\/4<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

1\/2<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

1<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 49<\/span><\/strong><\/p>\n

1.\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span>If event\u00a0<\/span>A<\/span><\/em>\u00a0is certain to occur, what is\u00a0<\/span>P<\/span><\/em>(<\/span>A<\/span><\/em>)?<\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

0.5<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

0.25<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

0.75<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

1<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

0<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4 points \u00a0\u00a0<\/span><\/strong><\/p>\n

QUESTION 50<\/span><\/strong><\/p>\n

1.\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span>It is thought that prehistoric Indians did not take their best tools, pottery, and household items when they visited higher elevations for their summer camps. It is hypothesized that archaeological sites tend to lose their cultural identity and specific cultural affiliation as the elevation of the site increases. Let\u00a0<\/span>x<\/span><\/em>\u00a0be the elevation (in thousands of feet) for an archaeological site in the southwestern United States. Let\u00a0<\/span>y<\/span><\/em>\u00a0be the percentage of unidentified artifacts (no specific cultural affiliation) at a given elevation. Suppose that the following data were obtained for a collection of archaeological sites in New Mexico:<\/span><\/p>\n

\u00a0<\/p>\n\n\n\n\n
\n

x<\/span><\/em><\/p>\n<\/td>\n

\n

5.50<\/span><\/p>\n<\/td>\n

\n

6.50<\/span><\/p>\n<\/td>\n

\n

7.50<\/span><\/p>\n<\/td>\n

\n

7.75<\/span><\/p>\n<\/td>\n

\n

8.75<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

y<\/span><\/em><\/p>\n<\/td>\n

\n

15<\/span><\/p>\n<\/td>\n

\n

32<\/span><\/p>\n<\/td>\n

\n

55<\/span><\/p>\n<\/td>\n

\n

39<\/span><\/p>\n<\/td>\n

\n

72<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

2.\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span>
Find\u00a0<\/span>a<\/span><\/em>\u00a0for the equation of the least-squares line\u00a0y = a + bx.<\/em><\/span><\/p>\n\n\n\n\n\n\n\n
\n

[removed]<\/span><\/p>\n<\/td>\n

\n

a.<\/span><\/p>\n<\/td>\n

\n

75.923<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

b.<\/span><\/p>\n<\/td>\n

\n

42.698<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

c.<\/span><\/p>\n<\/td>\n

\n

\u201375.923<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

d.<\/span><\/p>\n<\/td>\n

\n

\u201342.698<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

[removed]<\/span><\/p>\n<\/td>\n

\n

e.<\/span><\/p>\n<\/td>\n

\n

\u201342.068<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/p>\n

\u00a0<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

QUESTION 1 Suppose the American Medical Association Center for Health Policy Research included data, by state, on the number of community hospitals and the average\u2026<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10601,10596,10882,479,537,172,478,10597,10599,10595],"tags":[10524,10522,10890,10561,10883,10889,10515,10521,10696,10518,10888,10887,10886,10885,10884,10525],"class_list":["post-125118","post","type-post","status-publish","format-standard","hentry","category-assignment-help-by-uks-no-1-writing-service","category-assignment-writers-canada-university-cost","category-free-ai-english-assignment-writers-china","category-nursing-course-hero","category-nursing-essay-pro","category-nursing-study-bay","category-nursing-study-pool","category-professional-assignment-writers-usa","category-uae-1-cheap-assignment-writing-service","category-write-a-word-essay","tag-apa-citation-format-assignment","tag-assignment-writers-australia-college-student","tag-best-nursing-case-study-writing-services","tag-buy-essay-usa","tag-case-study-nursing-writing-services-for-care-plans","tag-free-nursing-case-study-writing-services","tag-help-write-a-page-assignment","tag-i-need-someone-to-do-my-assignment-within-hours","tag-need-assistance-completing-the-assignment","tag-need-to-write-an-essay","tag-nursing-case-studies-with-answers","tag-nursing-case-study-paper-example","tag-nursing-case-study-template-examples-of-case-studies-nursing","tag-pharmacology-case-study","tag-soap-note-case-study","tag-write-pages"],"_links":{"self":[{"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/posts\/125118","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/comments?post=125118"}],"version-history":[{"count":0,"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/posts\/125118\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/media?parent=125118"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/categories?post=125118"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/tags?post=125118"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}