After reading this chapter, you should be able to:
- Define inferential statistics and explain why they are necessary.
- Describe the process of null hypothesis significance testing (NHST).
- Distinguish between Type I and Type II errors and define power.
- Distinguish between parametric and nonparametric tests and choose an appropriate test statistic for research designs with one and two factors.
- Distinguish between a main effect and an interaction.
- Identify main effects and interactions in a summary table and in a graph.
- Distinguish between a chi-square goodness-offit-test and a chi-square test for independence.
- Identify and describe the following effect size measures: Cohen’s d, eta squared, the coefficient of determination, and Cramer’s V.
- Distinguish between a point estimate and an interval estimate and explain how estimation relates to the significance and effect size of an outcome.
- Distinguish between the precision and the certainty of an interval estimate.