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 ...

Linear multiplicative models are popular tools for analyzing data with positive responses. However, the linear structure of ...

In statistical inference, or hypothesis testing, the traditional tests are called parametric tests because they depend on the specification of a probability distribution (such as the normal) except ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

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

Key Points Mood’s Median Test is a non-parametric test for testing medians between multiple samples. It is an alternative to other 1-way ANOVA tests. It isn’t the most robust test for testing, but ...