Summary
Contents
Subject index
This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.
Making Sense of Data : Measures of Central Tendency and Variability
Making Sense of Data : Measures of Central Tendency and Variability
After reading this chapter, you will be able to
- Calculate the three measures of central tendency and the three measures of variability
- Interpret the information conveyed by each measure of central tendency and variability
- Report the three measures of central tendency and variability in APA style
- Identify considerations when selecting a measure of central tendency
- Describe why variability is an essential part of research
- Generate the three measures of central tendency and variability using SPSS
- Interpret SPSS output with respect to the three measures of central tendency and variability
In the previous chapter, we discussed ways to organize and help us make sense of large quantities of data. Indeed, this is the essence of descriptive statistics. In this chapter, we will ...
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