# Chapter 12: Non-Parametric Statistics

**Advanced**Created by: CK-12

## Introduction

In previous chapters, we discussed the use of the normal distribution, Student's

These tests include tests such as the sign test, the sign-ranks test, the ranks-sum test, the Kruskal-Wallis test, and the runs test. While parametric tests are preferred, since they are more powerful, they are not always applicable. In this chapter, you will examine situations in which we would use non-parametric methods and the advantages and disadvantages of using these methods.

- 12.1.
## Non-Parametric Statistics

- 12.2.
## Rank Sum Test and Rank Correlation

- 12.3.
## Kruskal-Wallis Test and Runs Test

### Chapter Summary

## Summary

This chapter concludes the course by introducing a series of tests that are utilized in non-parametric situations, including: the sign test, rank sum test, Kruskal Wallis test, runs test, and sign rank test.

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