After reading Chapter 10, you should have mastered each of the following objectives.
- State the purpose of inferential statistics.
- Explain the probabilistic nature of inferential statistics, and differentiate sampling
errors from measurement errors.
- Differentiate descriptive statistics from inferential statistics.
- Explain the logic of inferential statistics.
- Explain the role of the null hypothesis and discuss the use of a level of
significance in inferential statistics.
- Differentiate a Type I error from a Type II error.
- Explain the difference between statistical and practical significance, and identify
two ways by which practical significance can be estimated.
- Differentiate parametric statistics from non-parametric statistics.
- Identify situations where it is appropriate to use a t-test, ANOVA, multiple
comparisons, factorial ANOVA, ANCOVA, multivariate statistics, and chi-square.
- Identify the criteria for the evaluation of inferential statistics and use this criteria
to evaluate the inferential analyses found in a research report.
