Journal of the Practice of Cardiovascular Sciences

STATISTICAL PAGES
Year
: 2015  |  Volume : 1  |  Issue : 1  |  Page : 69--71

Chi-square test and its application in hypothesis testing


Rakesh Rana, Richa Singhal 
 Statistical Section, Central Council for Research in Ayurvedic Sciences, Ministry of AYUSH, GOI, New Delhi, India

Correspondence Address:
Dr. Richa Singhal
Central Council for Research in Ayurvedic Sciences, Ministry of AYUSH, GOI, New Delhi
India

In medical research, there are studies which often collect data on categorical variables that can be summarized as a series of counts. These counts are commonly arranged in a tabular format known as a contingency table. The chi-square test statistic can be used to evaluate whether there is an association between the rows and columns in a contingency table. More specifically, this statistic can be used to determine whether there is any difference between the study groups in the proportions of the risk factor of interest. Chi-square test and the logic of hypothesis testing were developed by Karl Pearson. This article describes in detail what is a chi-square test, on which type of data it is used, the assumptions associated with its application, how to manually calculate it and how to make use of an online calculator for calculating the Chi-square statistics and its associated P-value.


How to cite this article:
Rana R, Singhal R. Chi-square test and its application in hypothesis testing.J Pract Cardiovasc Sci 2015;1:69-71


How to cite this URL:
Rana R, Singhal R. Chi-square test and its application in hypothesis testing. J Pract Cardiovasc Sci [serial online] 2015 [cited 2022 Jul 2 ];1:69-71
Available from: https://www.j-pcs.org/article.asp?issn=2395-5414;year=2015;volume=1;issue=1;spage=69;epage=71;aulast=Rana;type=0