Power For Two-sample Tests
Power for Two-Sample Tests is the probability that a statistical test correctly rejects the null hypothesis when a true difference exists between the parameters of two independent populations, distinguished from other power concepts by its specific application to designs comparing two distinct sample groups.
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34.9K
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697
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2017–2026
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Salvador García, Alberto Fernández, Julián Luengo et al. · Information Sciences · 2009 · 2.2K citations
Using the Student's t-test with extremely small sample sizes
Joost de Winter · 2020 · 998 citations · Full text
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The University of Texas Medical Branch at Galveston, United States
5 publications · 110 citations
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University of Southern California
Los Angeles, United States
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8 publications
393 citations
University of Iowa
Iowa City, United States
6 h-index
9 publications
325 citations
University of Florida
Gainesville, United States
6 h-index
8 publications
296 citations
The Ohio State University
Columbus, United States
6 h-index
6 publications
584 citations
National Cancer Institute
Bethesda, United States
6 h-index
9 publications
411 citations
University of California System
Oakland, United States
6 h-index
7 publications
1.7K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
5 h-index
7 publications
198 citations
Harvard University
Cambridge, United States
5 h-index
9 publications
366 citations
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28 publications · 2.2K citations
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