Hypothesis testing is useful because it allow you to use your data as evidence to support or refute a claim, and helps you to make decisions. This chapter explains how to perform some of the most commonly used types of hypothesis test.
Most of the tests discussed in this chapter are used to compare sample means, but we will also look at tests for comparing sample variances. Both parametric and nonparametric tests are covered. Parametric tests make some assumptions about the distribution of the data, usually that the data follows a normal distribution. Nonparametric tests don’t make this kind of assumption, so are ...