The Chi-Square Test in Excel is a nonparametric statistical test that assesses the relationship between categorical variables. It also helps check if the variation of observed frequencies from the expected results is purely by chance or due to the relation between them.

The Chi-Square formula is: In Excel, break it into simple steps: 1. Calculate the difference: Subtract expected values from observed values (O - E). 2. Square the difference: Use (O - E)^2. 3. Divide by expected value: Divide each squared difference by the corresponding expected value.

Chi-Square p-value: Chi-square P-value will tell you if your test results are significant or not. Goodness of fit: Chi-Square goodness of fit test is a non-parametric test that is used to find out how the observed value of a given phenomenon is significantly different from the expected value.

So it’s a type of Excel data analysis and visualization. In this tutorial, we’re going to learn how to perform chi-square tests in Excel. But first, we need to learn about their applications.