Compares this χ 2 to the chi-square distribution (the shape of which varies depending on the degrees of freedom) in order to determine whether we can reject the null hypothesis at a given alpha level ...

We'll introduce the chi-square test by comparing and contrasting it with a familiar statistical test: the t-test! For example, we might do a one-sample, two-tailed t-test if we have the following ...

1 Wadsworth Center, New York State Department of Health, Albany, NY, USA. 2 Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, NY, USA. 3 ...

Abstract: A simple and novel asymptotic bound for the maximum error resulting from the use of the central limit theorem to approximate the distribution of chi square ...

Abstract: Generalizations of two known noncentral chi-square results are presented. The first generalization concerns extending the expression for the probability that one (first-order) Ricean random ...

The chi-square test is an essential tool in statistics that allows researchers to compare observed and expected frequencies of categorical variables. One of the fundamental steps in conducting a ...

The chi-square test is a statistical hypothesis test that is used to compare observed and expected counts in a contingency table. Its uses include: tests for independence, tests for homogeneity, and ...