Chapter 14: Statistical Inference: Other Two-Sample Test Statistics
Looking Ahead: What Is This Chapter About?
Two populations can differ in a variety of ways, such as central tendency, dispersion, skewness, and
kurtosis. Often a researcher is primarily interested in whether the populations differ in central tendency.
However, the researcher also may be interested in knowing whether the populations differ in dispersion. In
this chapter you will learn about an F statistic and F sampling distribution that are used to test hypotheses
about two variances. You also will learn how to use a z statistic to test hypotheses about two population
proportions.
After reading this chapter, you should know the following:
■ How to use an F statistic and independent samples to test a statistical hypothesis or construct a
confidence interval for two population variances
■ How to use a t statistic and dependent samples to test a statistical hypothesis or construct a confidence
interval for two population variances
■ How to use a z statistic and independent samples to test a statistical hypothesis or construct a
confidence interval for two population proportions
■ How to use a z statistic and dependent samples to test a statistical hypothesis or construct a
confidence interval for two population proportions