For an equals/not-equals set of hypotheses, you find the p-value as if the hypothesis were =,> (as I did in the video above), and then DOUBLE YOUR RESULT.

If you send me the full question you’re looking at I’ll work it out in a video for you and post it here.

The p-value is NOT the same as the z-value, but they are directly linked to each other. The p-value is the probability of getting the z value obtained for your sample – given that the null hypothesis is true. This means that each different z value has it’s own unique p-value. Higher z values are more rare, so they end up having smaller p-values (smaller probabilities of occurring).

In short, they are not the exact same thing, but they are directly linked. If you know the z value, you can look up it’s p-value on the z table… and yes, once you know the p-value you compare it to the alpha level. If the p-value is smaller than alpha, then the null hypothesis is rejected.

Can you show how to get P value when doing Chi sq. test.

I believe this has been omitted. we’re not required to study this for the exam.

What if you had an example were the hypothesis was H0=180 and H1 not equal to 180, how would you conduct the Pvalue then ?

For an equals/not-equals set of hypotheses, you find the p-value as if the hypothesis were =,> (as I did in the video above), and then DOUBLE YOUR RESULT.

If you send me the full question you’re looking at I’ll work it out in a video for you and post it here.

am confused about the P value…so basically it is the same as Z value? and then we compare it with alpha value?

The p-value is NOT the same as the z-value, but they are directly linked to each other. The p-value is the probability of getting the z value obtained for your sample – given that the null hypothesis is true. This means that each different z value has it’s own unique p-value. Higher z values are more rare, so they end up having smaller p-values (smaller probabilities of occurring).

In short, they are not the exact same thing, but they are directly linked. If you know the z value, you can look up it’s p-value on the z table… and yes, once you know the p-value you compare it to the alpha level. If the p-value is smaller than alpha, then the null hypothesis is rejected.