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This article is part of a series on Medical statistics, edited by Jonathan Ball, Viv Bewick and Liz Cheek.

Highly AccessReview

Statistics review 5: Comparison of means

Elise Whitley1 and Jonathan Ball2

1Lecturer in Medical Statistics, University of Bristol, Bristol, UK

2Lecturer in Intensive Care Medicine, St George's Hospital Medical School, London, UK

Critical Care 2002, 6:424-428doi:10.1186/cc1548

Published: 12 July 2002

Abstract

The present review introduces the commonly used t-test, used to compare a single mean with a hypothesized value, two means arising from paired data, or two means arising from unpaired data. The assumptions underlying these tests are also discussed.


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