After reading this chapter, you should be able to
19.1 Explain the “four fundamental points” about inferential statistics, including
the distinction between a sample and a population and between a statistic and a
parameter.
19.2 Explain the concept of a sampling distribution.
19.3 Compare and contrast point estimation and interval estimation.
19.4 Explain the steps in hypothesis testing, including the key concepts (p value, null
and alternative hypothesis, statistical and practical significance, false positive [i.e.,
Type I error] versus false negative [i.e., Type II error], and effect size indicator).
19.5 Describe the common hypothesis testing analyses used in research practice.