| STATISTICS WITHOUT TEARS |
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| Year : 2009 | Volume
: 18
| Issue : 2 | Page : 127-131 |
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Hypothesis testing, type I and type II errors
Amitav Banerjee1, UB Chitnis1, SL Jadhav1, JS Bhawalkar1, S Chaudhury2
1 Department of Community Medicine, D. Y. Patil Medical College, Pune, India
2 Department of Psychiatry, RINPAS, Kanke, Ranchi, India
Correspondence Address:
Amitav Banerjee
Department of Community Medicine, D. Y. Patil Medical College, Pune - 411 018
India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/0972-6748.62274
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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. |
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