p-value

英語（米国） (en-US) 英語（イギリス） (en-GB)

名詞

(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.

日本語の意味

統計的有意性検定において、帰無仮説が正しいと仮定した場合に、実際に観測された検定統計量と同程度またはそれ以上に極端な値が得られる確率

英語の意味

(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.

このボタンはなに？

The p-value suggested the observed difference could reasonably occur under the null hypothesis, so we did not reject it.

帰無仮説が真であると仮定した場合に観測されたものと同じかそれ以上に極端な検定統計量を得る確率は、観測された差が偶然に生じ得ることを示したため、帰無仮説を棄却しませんでした。

詳細

意味（1）

(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 […]

詳細

p-values （ plural ）