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

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 ...

Learn how two-tailed tests determine statistical significance in hypothesis testing by evaluating if a sample differs from a population mean. Discover real-world applications.

This all might sound complicated, but finding the p value is an invaluable test in statistics and it is essential that your graphing calculator can do the hard work for you.

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 ...

The P value reported by tests is a probabilistic significance, not a biological one.

The Binomial test, sometimes referred to as the Binomial exact test, is a test used in sampling statistics to assess whether a proportion of a binary variable is equal to some hypothesized value. In ...

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 ...