Descriptive Statistics Assignment
\nDescriptive Statistics Assignment
\nFor additional ancillary materials related to this chapter, please
\nvisit thePoint.
\nStatistical analysis enables researchers to organize, interpret, and
\ncommunicate numeric information. Mathematic skill is not
\nrequired to grasp statistics\u2014only logical thinking ability is needed.
\nIn this book, we underplay computation. We focus on explaining
\nwhich statistics to use in different situations and on how to
\nunderstand what statistical results mean.
\nStatistics can be descriptive or inferential. Descriptive statistics are
\nused to describe and synthesize data (e.g., a percentage). When a
\npercentage or other descriptive statistic is calculated from
\npopulation data, it is called a parameter . A descriptive index from
\na sample is a statistic . Research questions are about parameters,
\nbut researchers calculate statistics to estimate them and use
\ninferential statistics to make inferences about the population. This
\nchapter discusses descriptive statistics, and Chapter 17 focuses on
\ninferential statistics. First we discuss levels of measurement
\nbecause the analyses that can be performed depend on how
\nvariables are measured.
\nLEVELS OF MEASUREMENT
\nScientists have developed a system for classifying measures. The
\nfour levels of measurement are nominal, ordinal, interval, and<\/p>\n","protected":false},"excerpt":{"rendered":"
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