The probability that observed or greater differences occur by chance.

the stated probability at which a hypothesis is either accepted or rejected. In most cases, differences are accepted only if they occur at the 95% level or higher. This is interpreted to mean that, by accepting the statistical difference, we are observing an actual population difference in 95 out of 100 cases. In the other 5 cases, the observed difference is actually attributable to random error.

The probability that observed or greater differences occurred by chance. [ A-C] [ D-F] [ G-I] [ J-L] [ M-O] [ P-R] [ S-U] [ V-Z] [ Table Of Contents

The maximum probability of a type I error that the research will tolerate in the hypothesis testing procedure.

The probability of incorrectly rejecting the null hypothesis in a test of hypothesis. (Also see alpha value and P-value.)

The probability value in statistics used to reject the null hypothesis.

The probability that the observations or results of an evaluation occurred by chance EHR/NSF Evaluation Handbook, Chapter Seven:   GlossarySource web site