Assuming that the null hypothesis is true, then p-Value is the probability of observing a value of the test statistic that is at least as extreme as the value actually computed from the sample data.
Step-by-step explanation:
The p-value is the probability that a random sample that is selected produces as the value of the test statistic is at least as extreme as the observed value when H0 is true.
The p-value as measure of how surprising our result is if the null hypothesis is true.
So ,we can state that- Assuming that the null hypothesis is true, then p-Value is the probability of observing a value of the test statistic that is at least as extreme as the value actually computed from the sample data.
