Statistical Tests

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 widespread use in various fields to compare…

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. In other words, it is an extension of…

Introduction 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 for their data analysis. Parametric tests assume…

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 it a powerful tool for data analysis. Definition The Chi-Square…

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…