Béda révisi "Ajén-P"

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Dina [[statistik]], '''nilai-p''' tina variabel random T nyaeta [[probabilitytéori theoryprobabilitas|probabilityprobabilitas]] Pr(T &le; t<sub>observed</sub>) numana T bakal dianggap leuwih gede atawa sarua jeung nilai observasi t<sub>observed</sub>, dina kayaan [[null hypothesis]] dianggap bener.
 
Dina basa sejen, anggapan yen null hypothesis sederhana ditolak lamun tes [[statistic]] ''T'' leuwih gede tinimbang nilai kritis ''c''. Kira-kira dina sabagean kasus T nu di-observasi sarua jeung t<sub>observed</sub>. Mangka nilai-p tina T dina eta kasus probabiliti yen T bakal sarua atawa leuwih ti t<sub>observed</sub>.
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The p-value does not depend on unobservable parameters, but only on the data, i.e., it is observable; it is a "statistic." In classical frequentist inference, one rejects the null hypothesis if the p-value is smaller than a number called the ''level'' of the test. In effect, the p-value itself is then being used as the test statistic. If the level is 0.05, then the probability that the p-value is less than 0.05, given that the null hypothesis is true, is 0.05, provided the test statistic has a continuous distribution. In that case, the p-value is [[sebaran seragam|uniformly distributed]] if the null hypothesis is true.
 
 
c) The p-value is the probability that a replicating experiment would not yield the same conclusion.
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==Sumber Rujukan==
*Sellke, T., M.J. Bayarri, & J. Berger. 2001. Calibration of P-values for Testing Precise Null Hypotheses. ''Am. Statistician'' 55: 62-71.
 
==Rujukan==
 
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"Calibration of P-values for Testing Precise Null Hypotheses". Sellke, T., Bayarri, M.J. and Berger, J. (2001) ''The American Statistician'' (55), 62--71.
[[en:P-value]]
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