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.

c - they will have the same distribution

step-by-step explanation:

this is the only one that could make sense. : )

the solution is x=1

step-by-step explanation:

we are given our   equation as

let's assume

left side function is

right side function is

now, we can draw graph

and then we can get intersection point

the intersection point will be solution

so, the solution is

x=1