Non-parametric tests or distribution free methods do not, and are used when the distributional assumptions for a parametric test are not met. While this is an advantage, it often comes at a cost of ...

Parametric tests are said to depend on distributional assumptions. Nonparametric methods perform the tests without making any strict distributional assumptions. Even if the data are distributed ...

Even if the data are distributed normally, nonparametric methods are often almost as powerful as parametric methods. The Nonparametric One-Way ANOVA task enables you to perform nonparametric tests for ...

In particular, we will motivate the need for GLMs; introduce the binomial regression model, including the most common binomial link functions; correctly interpret the binomial regression model; and ...

The ANOVA analysis of variance test is a fantastic tool when your data follows the normal distribution. Should your data fall ...

Explain why and when a non-parametric test should be used or may be preferred for simple comparison over a parametric method Explain the general principles and process of performing a non-parametric ...