The Chi-Square test: a frequency data based statistical device

Authors

  • Ashok Kumar Universal College of Medical Sciences and Teaching Hospital, Bhairahawa, Nepal

DOI:

https://doi.org/10.3126/jucms.v3i3.24250

Keywords:

Observed and Expected Frequencies, Degrees of Freedom (DF), Statistical Significance, Independence of attributes, Null Hypothesis, Level of Significance, p-value

Abstract

“Cause Effect” relationships are very important and play a most vital and significant role in medical researchers to reveal efficacy of medication as preventive and curative measures towards control and eradication of various diseases and morbidity factors. The present paper, in this direction is an attempt to highlight the main applicability of - test ( chi- square test ) ; a most appropriate statistical device in testing statistical significance of the above mentioned relationships in studying impact of one on the other ; supplemented by a few citations thereof.

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Author Biography

Ashok Kumar, Universal College of Medical Sciences and Teaching Hospital, Bhairahawa, Nepal

Associate Professor of Biostatistics, Department of Community Medicine

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Published

2015-12-31

How to Cite

Kumar, A. (2015). The Chi-Square test: a frequency data based statistical device. Journal of Universal College of Medical Sciences, 3(3), 53–55. https://doi.org/10.3126/jucms.v3i3.24250

Issue

Vol. 3 No. 3 (2015)

Section

Medical Education

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