The Chi-Square test is a useful statistical tool that helps researchers determine whether there is a significant relationship between two categorical variables within a given dataset. It is often used ...

The chi-square test is a versatile statistical method used to determine if there is a significant association between two categorical variables in a sample. It can be employed in various fields ...

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) ...

Abstract: In this paper, theories of Chi-square test of multinomial distribution and contingency table analysis, and their applications in customer satisfaction are introduced, and empirical analyses ...

ABSTRACT: We describe two new derivations of the chi-square distribution. The first derivation uses the induction method, which requires only a single integral to calculate. The second derivation uses ...

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 ...

This page was designed to go with an entry that I wrote entitled chi-square-alternatives.html for International Encyclopedia of Statistical Sciences, Lovric (2010). In that paper I discussed four ...

Abstract: A validation gate for target tracking is discussed in this paper. We present the new gate size estimation method by maximizing the difference between the average of target detection within ...