(statistics) In statistical significance testing, theprobability of obtaining a teststatistic at least as extreme as the one that was actually observed, assuming that thenull 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, page145:
The larger thep-value the smaller the chance of a difference. Ap-value of 1.00 means 0 % chance of a difference, while ap-value of 0.95 means a chance of difference close to 0. Ap-value 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 < (1-0.95) , 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[…]
