pvalue
English[edit]
Etymology[edit]
Short for probability value.
Noun[edit]
pvalue (plural pvalues)
 (statistics) In statistical significance testing, the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true. ^{[1]}
 2008, Ton J. Cleophas, A.H. Zwinderman, Toine F. Cleophas, Eugene P. Cleophas, Statistics Applied to Clinical Trials, Springer Science & Business Media (→ISBN), page 145

The larger the pvalue the smaller the chance of a difference. A pvalue of 1.00 means 0 % chance of a difference, while a pvalue of 0.95 means a chance of difference close to 0. A pvalue of > 0.95 literally means that we have > 95 per cent chance of finding a result less close to expectation, which means a chance of < (10.95) , i.e., < 0.05 of finding a result this close or closer. Using the traditional 5 per cent decision level, this would mean, that we have a strong argument that such […]

 2008, Ton J. Cleophas, A.H. Zwinderman, Toine F. Cleophas, Eugene P. Cleophas, Statistics Applied to Clinical Trials, Springer Science & Business Media (→ISBN), page 145
References[edit]
 ^ Goodman, SN (1999), “Toward EvidenceBased Medical Statistics. 1: The P Value Fallacy.”, in Annals of Internal Medicine, volume 130, pages 995–1004