Open AccessHow to choose and interpret a statistical test? An update for budding researchers
Author(s) -
Ahmad Najmi,
Balakrishnan Sadasivam,
Avik Ray
Publication year - 2021
Publication title -
journal of family medicine and primary care
Language(s) - English
Resource type - Journals
eISSN - 2278-7135
pISSN - 2249-4863
DOI - 10.4103/jfmpc.jfmpc_433_21
Subject(s) - medicine , test (biology) , selection (genetic algorithm) , statistical hypothesis testing , statistical analysis , data science , medical education , management science , statistics , machine learning , computer science , paleontology , mathematics , biology , economics
Postgraduate medical students are often not able to select and interpret the findings of statistical tests during their thesis or research projects. To go ahead with selection of tests to be performed, researchers need to determine the objectives of study, types of variables, analysis and the study design, number of groups and data sets, and the types of distribution. In this review, we summarize and explain various statistical tests to help postgraduate medical students to select the most appropriate techniques for their thesis and dissertation.