Hypothesis testing, type I and type II errors

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 c...

Descripción completa

Detalles Bibliográficos
Autores principales: Banerjee, Amitav, Chitnis, U. B., Jadhav, S. L., Bhawalkar, J. S., Chaudhury, S.
Formato: Texto
Lenguaje:English
Publicado: Medknow Publications 2009
Materias:
Statistics without Tears
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2996198/
https://www.ncbi.nlm.nih.gov/pubmed/21180491
http://dx.doi.org/10.4103/0972-6748.62274
_version_ 1782193163114381312
author Banerjee, Amitav
Chitnis, U. B.
Jadhav, S. L.
Bhawalkar, J. S.
Chaudhury, S.
author_facet Banerjee, Amitav
Chitnis, U. B.
Jadhav, S. L.
Bhawalkar, J. S.
Chaudhury, S.
author_sort Banerjee, Amitav
collection PubMed
description 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.
format Text
id pubmed-2996198
institution National Center for Biotechnology Information
language English
publishDate 2009
publisher Medknow Publications
record_format MEDLINE/PubMed
spelling pubmed-29961982010-12-21 Hypothesis testing, type I and type II errors Banerjee, Amitav Chitnis, U. B. Jadhav, S. L. Bhawalkar, J. S. Chaudhury, S. Ind Psychiatry J Statistics without Tears 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. Medknow Publications 2009 /pmc/articles/PMC2996198/ /pubmed/21180491 http://dx.doi.org/10.4103/0972-6748.62274 Text en © Industrial Psychiatry Journal http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Statistics without Tears
Banerjee, Amitav
Chitnis, U. B.
Jadhav, S. L.
Bhawalkar, J. S.
Chaudhury, S.
Hypothesis testing, type I and type II errors
title Hypothesis testing, type I and type II errors
title_full Hypothesis testing, type I and type II errors
title_fullStr Hypothesis testing, type I and type II errors
title_full_unstemmed Hypothesis testing, type I and type II errors
title_short Hypothesis testing, type I and type II errors
title_sort hypothesis testing, type i and type ii errors
topic Statistics without Tears
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2996198/
https://www.ncbi.nlm.nih.gov/pubmed/21180491
http://dx.doi.org/10.4103/0972-6748.62274
work_keys_str_mv AT banerjeeamitav hypothesistestingtypeiandtypeiierrors
AT chitnisub hypothesistestingtypeiandtypeiierrors
AT jadhavsl hypothesistestingtypeiandtypeiierrors
AT bhawalkarjs hypothesistestingtypeiandtypeiierrors
AT chaudhurys hypothesistestingtypeiandtypeiierrors

Ejemplares similares