Ajén-P: Béda antarrépisi
Konten dihapus Konten ditambahkan
m Ngarapihkeun éjahan, replaced: nyaeta → nyaéta, yen → yén (2), ea → éa using AWB |
m →top: Ngarapihkeun éjahan, replaced: sejen → séjén |
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Baris ka-1: | Baris ka-1: | ||
Dina [[statistik]], '''nilai-p''' tina variabel random T nyaéta [[téori probabilitas|probabilitas]] Pr(T ≤ 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 [[statistik]], '''nilai-p''' tina variabel random T nyaéta [[téori probabilitas|probabilitas]] Pr(T ≤ 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. |
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Dina basa |
Dina basa séjén, anggapan yén null hypothesis sederhana ditolak lamun tes [[statistic]] ''T'' leuwih gede tinimbang nilai kritis ''c''. Kira-kira dina sabagéan kasus T nu di-observasi sarua jeung t<sub>observed</sub>. Mangka nilai-p tina T dina éta kasus probabiliti yén 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. |
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. |
Révisi nurutkeun 13 Pébruari 2017 06.53
Dina statistik, nilai-p tina variabel random T nyaéta probabilitas Pr(T ≤ tobserved) numana T bakal dianggap leuwih gede atawa sarua jeung nilai observasi tobserved, dina kayaan null hypothesis dianggap bener.
Dina basa séjén, anggapan yén null hypothesis sederhana ditolak lamun tes statistic T leuwih gede tinimbang nilai kritis c. Kira-kira dina sabagéan kasus T nu di-observasi sarua jeung tobserved. Mangka nilai-p tina T dina éta kasus probabiliti yén T bakal sarua atawa leuwih ti tobserved.
Sumber Rujukan
- Sellke, T., M.J. Bayarri, & J. Berger. 2001. Calibration of P-values for Testing Precise Null Hypotheses. Am. Statistician 55: 62-71.
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