MultivariateTests
Multivariate tests are statistical methods used to analyze and interpret multiple variables simultaneously. Unlike univariate tests, which focus on a single variable, multivariate tests consider the relationships and interactions among several variables. These tests are particularly useful in fields such as economics, psychology, and biology, where complex datasets with multiple interrelated variables are common.
One of the most well-known multivariate tests is the Hotelling's T-squared test, which is an extension of
Multivariate tests are also used in factor analysis, a technique that identifies underlying relationships between variables.
The choice of multivariate test depends on the research question, the nature of the data, and the