Chi Square Test of Independence | Statistics Tutorial #29| MarinStatsLectures

Chi Square Test of Independence: How to use Pearson's Chi Square Test of Independence to test if two categorical variables are independent or dependent?
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► Pearson's Chi Square Test of Independence can be used to test if two variables are independent or dependent, and is often used with categorical data.
► The Chi-Square Test can also be used to test how well a particular distribution fits a set of observed data, and is referred to as Pearson's Goodness of Fit Test.
► The Pearson's Chi Squared test works by comparing the observed contingency table, to what the table would be expected to look like, if the null hypothesis is true, and X and Y are independent.
► While Chi-Square Test technically is referred to as a Non Parametric test, the assumptions and approach to the test look more like a parametric test.
► If the null hypothesis is rejected, this test tells us nothing about the strength or direction of association between X and Y, and we must use other measures of association to try and address this.
► While we show the formula and calculations, our focus is on the concepts of Chi-Square Test, not the calculations.
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