Lesson 11: Introduction to Nonparametric Tests and Bootstrap

Overview Section

What are Nonparametric Methods?

Nonparametric methods require very few assumptions about the underlying distribution and can be used when the underlying distribution is unspecified.

In the next section, we will focus on inference for one parameter. There are many methods we will not cover for one sample and also many methods for more than one parameter. We present the Sign Test in some detail because it uses many of the concepts we learned in the course. We leave out the details of the other tests.


Upon the completion of this lesson, you shoul be able to:

  • Determine when to use nonparametric methods.
  • Explain how to conduct the Sign test.
  • Generate a bootstrap sample.
  • Find a confidence interval for any statistic from the bootstrap sample.