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. 2009 Jul;18(2):127-31.
doi: 10.4103/0972-6748.62274.

Hypothesis testing, type I and type II errors

Amitav Banerjee  1 , U B Chitnis, S L Jadhav, J S Bhawalkar, S Chaudhury
Affiliations

Hypothesis testing, type I and type II errors

Amitav Banerjee et al. Ind Psychiatry J. 2009 Jul.

Abstract

Hypothesis testing is an important activity of empirical research and evidence-based medicine. A well worked up hypothesis is half the answer to the research question. For this, both knowledge of the subject derived from extensive review of the literature and working knowledge of basic statistical concepts are desirable. The present paper discusses the methods of working up a good hypothesis and statistical concepts of hypothesis testing.

Keywords: Effect size; Hypothesis testing; Type I error; Type II error.

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Conflict of interest statement

Conflict of Interest: None declared.

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