• Introduce nonparametric hypothesis tests
• Discuss similarities and differences with parametric tests
• Introduce the sign test
• Introduce the Wilcoxon tests
• Introduce the runs test for randomness
Most of the hypothesis tests introduced in previous chapters require that the population has a certain type of distribution, such as a normal distribution. Such tests are called parametric tests. In this chapter, we introduce several tests that have no such requirement. These tests are called nonparametric or distribution-free tests.
Nonparametric tests have the advantage that no certain population distribution is needed. Thus they can be used in situations where parametric ...