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P-value under the alternative hypothesis is a ..

of P-values under the alternative hypothesis is ..

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under the null hypothesis, the p-value is defined uniformly ..

Because this is a two-sided alternative hypothesis, the p-value is the combined area to the right of 2.47 and the left of −2.47 in a t-distribution with 35 – 1 = 34 degrees of freedom.

There is no "alternative hypothesis" ..

A p-value is a statistic that is evaluated from a random sample, so it has adistribution in the same way that a sample mean has a distribution. This distribution alsohas features that are common to all hypothesis tests. Understanding the distribution ofp-values is the key to understanding how they are interpreted.

using the distribution under the null hypothesis ..

Because this is a two-sided alternative hypothesis, the p-value is the combined area to the right of 2.47 and the left of −2.47 in a t-distribution with 35 – 1 = 34 degrees of freedom.

Comparing observed and expected frequencies of test outcomes when there is no defined population variance (attribute data).
When the population follows a normal distribution, the hypothesis tests for comparing a population variance, 0:, with a fixed value, 0:, are given by the following:The null hypothesis is denoted by H0 and the alternative hypothesis is denoted by H1.

Proof that P-values under the null are uniformly distributed

The p-value gives the probability that a random sample from the population claimed by the null hypothesis would have produced a more unlikely test statistic value than the one actually obtained. For a one-tailed test, we use the distribution implied by the test statistic, and find the area under the curve beyond that value. For a two-tailed test, we do the same thing, but we double the answer.

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  • Distribution of p-values - Massey University

    p-value - Wikipedia

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    01/12/2017 · The Behavior of the P-Value When the Alternative Hypothesis is ..

  • Understanding the distribution of p-values is the ..

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