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.

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

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 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 ...