Statistical Tests

Understanding One-Way and Two-Way ANOVA [With Examples] This article provides a comprehensive overview of the two main types of Analysis of Variance (ANOVA) tests: one-way ANOVA vs two-way ANOVA. It begins by explaining the general concept of ANOVA and its…

What is a One-Way ANOVA: A Comprehensive Guide A One-way ANOVA, also called a one-way analysis of variance is a statistical method mainly used to test whether there are significant differences in means when there are 3 or more groups.…

Understanding the Difference Between Parametric and Non-Parametric Tests Parametric and non-parametric tests are two fundamental concepts in statistical analysis. Understanding the difference between these two types of tests is crucial for researchers and analysts in selecting the appropriate statistical method…

Chi-Square Test of Independence [Definition, Case Study, Assumptions and Limitations] The Chi-Square Test is a way to figure out if there’s a significant connection between two categories in a set of data. It checks if the categories are independent, making…

The Chi-square goodness of fit test is a non-parametric statistical test used to determine the extent to which observed values deviate from expected values. This test enables the comparison of an observed sample distribution with an expected probability distribution, assessing…