Learn about chi square, a powerful statistical analysis tool used to determine the relationship between categorical variables. Explore how chi square can help you make data-driven decisions and improve your research outcomes.
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Sharing is caringTweetLooking for an intuitive explanation of the Chi-Square distribution? Check out the blog post I wrote on the Chi-Square distribution and degrees of freedom. For a step-by-step explanation on Chi-Square testing, check out my post on the Chi-Square test for independence and goodness of fit. This post table is part of a blog […]
Chi-Square Test tests for association between two categorical variables Chi-Square Test performs two types of functions goodness of fit Chi-Square Test performs two types of functions test of independence Chi-Square Test frequency numbers should be significant Chi-Square Test frequency numbers should be at least above 5 Chi-Square Test frequency numbers should be categorical counts Chi-Square Test frequency numbers should not be percentages Chi-Square Test frequency numbers should not be
Discover the Chi-Square Test: its uses, formula, categorical variables, assumptions, types, calculation methods, and limitations, with practical R examples.