p-value (Statistics)

Published by

March 14, 2017

The p-value is defined as the probability of getting a result that is equal to or more than what was actually seen and can also be said to be when the null hypothesis is correct. Within frequent inference the p value is used quite often with statistical hypothesis testing specifically in null hypothesis testing. If the p value is correctly calculated it guarantees the Type I error rate will be at most a.

Back to Glossary Index

Published by