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F-test is a statistical tool used to determine if there is a significant difference between the variances of two or more samples. It compares the variability of data within sample groups to the variability across sample groups. In this blog, we will explore the concept of the F-test in more detail and learn how to conduct and interpret the test. Contents : Variance What exactly is an f-test? Definition Assumptions When to use Interpretation Different types Example of Different types Visualization Example of Different types Limitations Advantages Other tests similar test Common terms Variance: Variances are a way to measure how much the values in a group are spread out or varied. Imagine you have two groups of students, group A and group B, and you want to know if their test scores vary significantly. You can use variances to compare the spread of scores in both groups. A small variance means that the values are closer together, and a large variance means that the values are more spread...

A Chi-squared test is a statistical test used to determine if there is a significant difference between the expected frequencies and the observed frequencies in one or more categories. This test is commonly used in fields such as research, statistics, and data analysis to evaluate the relationship between variables. In this blog post, we will dive into the details of a Chi-squared test. Contents : What exactly is a Chi-squared test? Definition of Chi-squared test Assumptions When to use Interpretation Different types of Chi-squared test Example of Different types of Chi-squared test Visualization Example of Different types of Chi-squared test Limitations of Chi-squared test Advantages of Chi-squared test Other tests similar to Chi-squared test Common terms in Chi-squared test What exactly is a Chi-Squared test? A Chi-squared test is a tool that helps us figure out if things are different than what we expect them to be. Let's say you want to know if all the kids in a class like piz...