The P-value of a test is the of getting evidence for the as strong or stronger than the observed evidence when the is .

A P-value is calculated assuming the null hypothesis is true. It measures how likely it would be to observe evidence at least as strong as the evidence found. So the missing word is “true,” not “false” or a fixed value such as 0 or 1.

AI-written and checked against the verified answer.