00:02
An appropriate interpretation of a p -value would be your first option.
00:21
Assuming the alternate hypothesis is true, the probability of getting your data are more extreme.
00:54
This interpretation aligns with the concept that the p -value is a measure of the strength of evidence against the null hypothesis.
01:00
It indicates the probability of observing the data or more extreme data if the null hypothesis were false and the alternative were true.
01:09
A small p -value, which is typically less than 0 .05, suggests strong evidence against the null hypothesis, leading to its rejection in favor of the alternative.
01:21
Option b is not correct.
01:23
It's probably that the null hypothesis is true.
01:25
This interpretation is not correct because the b -value does not provide information about the truth or falsity of the null hypothesis.
01:33
Instead, instead, it informs about the likelihood of obtaining the observed data or more extreme data under the assumption that the null hypothesis is false.
01:40
Your third statement, the probability of the alternative hypothesis is false.
01:43
Again, this is incorrect because the p -value does not provide information about the truth or falsity of the alternative hypothesis...