# New to Statistics

#### musgt01

##### New Member
Im looking for help on the following question. I'm having a hard time understanding. thanks for any help

p-value of 9% would most likely indicate that:

1. the null hypothesis should be rejected.

2. the alternative hypothesis should be rejected.

3. the alternative hypothesis should not be rejected.

4. the null hypothesis should not be rejected.

#### hlsmith

##### Less is more. Stay pure. Stay poor.
Is that the full question? It doesn't state the a priori level of significance. What do you believe the correct answer may be and why? Given you provide you thoughts on the solution, we would then be happy to help confirm or direct you towards the underlying rationale and concepts.

Thanks!

#### musgt01

##### New Member
Is that the full question? It doesn't state the a priori level of significance. What do you believe the correct answer may be and why? Given you provide you thoughts on the solution, we would then be happy to help confirm or direct you towards the underlying rationale and concepts.

Thanks!
This is the full question. I'm just at a lost right now

#### hlsmith

##### Less is more. Stay pure. Stay poor.
So say your level for significance was 0.05 (alpha) and your got a pvalue 0.09, what would be your decision about accepting the null?

#### musgt01

##### New Member
So say your level for significance was 0.05 (alpha) and your got a pvalue 0.09, what would be your decision about accepting the null?
Im leaning towards number 1. the null hypothesis should be rejected because of 9% probability

#### hlsmith

##### Less is more. Stay pure. Stay poor.
Lean away from that one. Pvalue represent s the probability of finding an outcome that extreme or more extreme given the null is true.