Summary
Contents
Subject index
This text introduces the essentials of the statistical technique. Rather than rote memorization of formulae, the emphasis is on developing an understanding of the underlying logic of statistics. Toward that end, the author uses an informal prose style, and avoids overwhelming the reader with complex notation and derivation. There are numerous exercises and problems graded for difficulty. A list of Greek symbols used in statistics is found inside the back cover for quick reference.
Inference With the Chi-Square Distribution
Inference With the Chi-Square Distribution
Learning Objectives
After reading this chapter, you should be able to do the following:
- Describe the difference between a parametric technique and a nonparametric technique.
- List the steps for constructing the chi-square distribution.
- Describe the shape of the chi-square distribution.
- Determine degrees of freedom for a chi-square test for goodness of fit and a chi-square test for independence.
- Run a chi-square test for goodness of fit and a chi-square test for independence for a given set of data.
- Provide the formula for determining expected values for a chi-square test for independence.
- Determine the appropriate test of significance for a given research problem.
In the previous chapters on inference, we have learned about several parametric techniques for comparing means. But often researchers are not interested in comparing means. Sometimes ...
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