Question

Explain the term significance level. Discuss in
detail the
assumptions of parametric and
non-parametric tests.​

Answer 1

Answer:

Nonparametric tests don’t require that your data follow the normal distribution. They’re also known as distribution-free tests and can provide benefits in certain situations. Typically, people who perform statistical hypothesis tests are more comfortable with parametric tests than nonparametric tests.

You’ve probably heard it’s best to use nonparametric tests if your data are not normally distributed—or something along these lines. That seems like an easy way to choose, but there’s more to the decision than that.

In this post, I’ll compare the advantages and disadvantages to help you decide between using the following types of statistical hypothesis tests:

Parametric analyses to assess group means

Nonparametric analyses to assess group medians