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Pronunciation varies by accent · noun
(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..
The larger the p-value the smaller the chance of a difference. A p-value of 1.00 means 0 % chance of a difference, while a p-value of 0.95 means a chance of difference close to 0. A p-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 […]
Use p-value when its meaning, tone and grammar fit the full sentence. A synonym is not always a direct replacement.
P-value means (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..
Common synonyms include asymptotic significance, probability value.
The opposite depends on the specific sense.
The larger the p-value the smaller the chance of a difference. A p-value of 1.00 means 0 % chance of a difference, while a p-value of 0.95 means a chance of difference close to 0. A p-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 […]
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