When two variables have a linear relationship, you can often use simple linear regression to quantify their relationship. However, when two variables have a quadratic relationship,…

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Multiple linear regression is a method you can use to understand the relationship between several explanatory variables and a response variable. This tutorial explains how to perform…

Simple linear regression is a method you can use to understand the relationship between an explanatory variable, x, and a response variable, y. This tutorial explains how…

In statistics, we’re often interested in understanding the relationship between two variables. For example, we might want to understand the relationship between the number of…

A Mann-Whitney U test (sometimes called the Wilcoxon rank-sum test) is used to compare the differences between two samples when the sample distributions are not normally distributed…

A paired samples t-test is used to compare the means of two samples when each observation in one sample can be paired with an observation in the other…

A two sample t-test is used to test whether or not the means of two populations are equal. This tutorial explains how to conduct a two sample…

A one sample t-test is used to test whether or not the mean of a population is equal to some value. This tutorial explains how to conduct…

A repeated measures ANOVA is used to determine whether or not there is a statistically significant difference between the means of three or more groups in which…

A two-way ANOVA is used to determine whether or not there is a statistically significant difference between the means of three or more independent groups that…