P-value is the level of marginal significance within a statistical hypothesis test, representing the probability of the occurrence of a given event.

Explore what a one-tailed test is in statistics, learn how it works, its application in finance, and understand its significance with a real-world example.

A P value measures a sample's compatibility with a hypothesis, not the truth of the hypothesis.

This example illustrates how to use PROC MULTTEST to multiplicity-adjust a collection of raw p-values obtained from some other source. This is a valuable option for those cases where PROC MULTTEST ...

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The method is illustrated using the small sample testing of a binomial proportion and the exact analysis of 2 × 2 tables as examples. The resulting P-value is compared with the previous two methods ...

I would like to respond to a recent letter by Mr. Robert Lem regarding Superintendent Critchfield’s characterization of Idaho’s 2025 ISAT results. Mr. Lem writes: ...

The p value from the two-sample t-test has been disparaged for its apparent inability to provide a measure for the magnitude of the mean effect. However, by knowing the p value and the sample size, a ...