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1. CHI-SQUARE TEST Mejayacel N. Orcales

2. The Chi-Square Test is a statistical tool used to determine whether there is a significant association between categorical variables or to test if a distribution of observed data fits an expected distribution . It is commonly used in hypothesis testing and is based on the differences between observed and expected frequencies in a dataset . WHAT IS CHI-SQUARE TEST?

3. THE CHII-SQUARE TEST Cause Two main types of CHI-SQUARE TEST: Type something here. 1. Chi-Square Test for Independence: Tests whether two categorical variables are related. The Chi-Square Test was introduced by Karl Pearson in 1900. It is one of the foundational tests in statistics and has applications in various fields, including social sciences, biology, and market research. 2. Chi-Square Goodness-of-Fit Test: Tests if an observed distribution matches an expected distribution.