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: 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 ...

Abstract: This article gives a formula that allows accurate values of the cumulative noncentral chi-square distribution to be computed. Although this distribution has been recognized for a long time, ...

The Chi-Square test of independence examines whether or not two nominal (categorical) variables have a significant connection. Comparing the frequency of categories for one nominal variable with the ...

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 ...