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 F Distribution
Inference With the F Distribution
Learning Objectives
After reading this chapter, you should be able to do the following:
- List the steps to construct the F distribution.
- Describe the shape of the F distribution.
- Describe how the variance and degrees of freedom are partitioned in a one-way analysis of variance (ANOVA).
- Run a one-way ANOVA for a given set of data.
- Describe the difference between main effects and interaction effects.
- Describe how the variance and degrees of freedom are partitioned in a two-way ANOVA.
- Run a two-way ANOVA for a given set of data.
- Complete an ANOVA summary table for a given analysis.
- Determine the appropriate test of significance for a given research problem.
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