Learn what analysis of variance (ANOVA) is, how it works, and when to use it. See how it helps compare means across multiple data groups in statistics and research.

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 ...

Abstract: The transition from passive to active distribution networks has led to a growing use of state estimators (SEs), particularly in applications that require high quality data (e.g., demand ...

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 ...