Open AccessHypothesis testing, type I and type II errors
Author(s) -
Amitav Banerjee,
Uday B Chitnis,
Sudhir Jadhav,
Jitendra Bhawalkar,
Suprakash Chaudhury
Publication year - 2009
Publication title -
industrial psychiatry journal/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.