1. Using the P-Value Section 10.3

2. P-Value (Observed Significance Level)  It’s the measure of the inconsistency between the hypothesized value for a population parameter and the observed sample statistic.  How likely is this sample if the H o is really true?

3. Using the P-Value  Reject if  Fail to Reject if

4. One tailed test (use the test statistic Z) P-value If the H o is really true, this is the probability of getting this z-score for the given data

5. Two-Tailed Test P-Value: Sum of both tails We have to double this to get both tails!

6. Let’s try one!

8. For which of the following P-Values would the null hypothesis be rejected if we’re using a 0.05 significance level?  0.003  0.045  0.084  0.128  3.12 x 10 -5

9. State whether the observed p-value leads to rejection of the null at the given significance level.

10. Find the p-Value associated with each of the given test statistics (z-scores)

12. Homework  Page 546 (2-10) even (11-17, 20, 22, 31)