Assuming that the null hypothesis is true, then 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.

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.

1,645,493,059.35

step-by-step explanation:

my acc plz

step-by-step explanation: