![]() ![]() Chi-square test For a chi-square test, the degrees of freedom are equal to the number of categories minus 1.Two-sample t-test The degrees of freedom for a two-sample t-test can be approximated as the smaller of the two sample sizes (n1 and n2) minus 1.Paired t-test The degrees of freedom for a paired t-test are calculated as the number of pairs (n) minus 1.This is because one parameter (the sample mean) is being estimated. Single-Sample t-test The degrees of freedom for a single-sample t-test are calculated as the sample size (n) minus 1.However, here are general guidelines for calculating degrees of freedom in some common scenarios: ![]() The exact way to calculate degrees of freedom can vary depending on the specific statistical test being used. Understanding how degrees of freedom interact with these statistical tests is crucial to selecting the correct test and interpreting its results accurately. In multiple regression, it’s the number of observations minus the number of parameters estimated (including each predictor and the intercept).
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