Hypothesis testing, type I and type II errors | Zendy

Banerjee Ak | Zendy; UB Chitnis | Zendy; Sudhir Jadhav | Zendy; JS Bhawalkar | Zendy; Suprakash Chaudhury | Zendy

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Hypothesis testing, type I and type II errors

Author(s) -

Banerjee Ak,

UB Chitnis,

Sudhir Jadhav,

JS Bhawalkar,

Suprakash Chaudhury

Publication year - 2009

Publication title -

industrial psychiatry journal

Language(s) - English

Resource type - Journals

eISSN - 0976-2795

pISSN - 0972-6748

DOI - 10.4103/0972-6748.62274

Subject(s) - statistical hypothesis testing , type i and type ii errors , computer science , type (biology) , alternative hypothesis , subject (documents) , empirical research , psychology , cognitive psychology , econometrics , data science , information retrieval , statistics , mathematics , null hypothesis , ecology , biology , library science

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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