The Chi-square \((X^2)\) Distribution as a Research Tool and Some of Its Most Important Parametric and Non-parametric Applications

Authors

  • A. Vasilopoulos The Peter J. Tobin College of Business St. Johns University Jamaica, NY, 11439, USA.

DOI:

https://doi.org/10.9734/bpi/ctmcs/v3/10046D

Keywords:

Parametric methods, non-Parametric methods, parametric chi-square tests, non-parametric chi-square tests

Abstract

Researchers can employ parametric methods (if they exist) or non-parametric approaches (if acceptable parametric methods do not exist) to test the validity of assertions during their research. The Chi-Square (x2) distribution plays a significant role in both parametric and non-parametric methods and many of its most important applications are explored in this paper, to guide the researchers in its use. 

Published

2021-06-29

How to Cite

A. Vasilopoulos. (2021). The Chi-square \((X^2)\) Distribution as a Research Tool and Some of Its Most Important Parametric and Non-parametric Applications. Current Topics on Mathematics and Computer Science Vol. 3, 83–99. https://doi.org/10.9734/bpi/ctmcs/v3/10046D

Issue

Current Topics on Mathematics and Computer Science Vol. 3

Section

Chapters