Journal of Postgraduate Medicine, Education and Research

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VOLUME 58 , ISSUE 1 ( January-March, 2024 ) > List of Articles


Statistics Corner: Analysis of Variance

Kamal Kishore, Vidushi Jaswal, Tejinder Singh

Keywords : ANOVA, SATS-36, Graphical User Interface (GUI)

Citation Information : Kishore K, Jaswal V, Singh T. Statistics Corner: Analysis of Variance. J Postgrad Med Edu Res 2024; 58 (1):38-42.

DOI: 10.5005/jp-journals-10028-1653

License: CC BY-NC 4.0

Published Online: 06-02-2024

Copyright Statement:  Copyright © 2024; The Author(s).


The t-test and its nonparametric counterpart are ideal for comparing the effect of two interventions. However, they fall short when it comes to comparing three or more groups. The rote application of multiple t-tests to compare three or more groups leads to the wastage of time and an increase in the false-positive (FP) rate. Therefore, analysis of variance (ANOVA) is more appropriate for comparing more than two groups. The first question that comes to mind while applying ANOVA is that the researcher's interest is to compare mean, whereas ANOVA compares variance. Further, many pertinent questions that come to mind are: Why choose ANOVA over multiple t-tests? Are there different types of ANOVA? What is the role of post hoc tests in ANOVA? What are the null and alternative hypotheses in ANOVA?

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