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 ...

Department of Biostatistics, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA. Zero-inflated distributions―a mixture of a point distribution and some other ...

A chi-square (also called chi-squared) test is a classical statistics technique that can be used to determine if observed-count data matches expected-count data. A chi-square (also called chi-squared) ...