Presentation on theme: "Using the P-Value Section 10.3. P-Value (Observed Significance Level) It’s the measure of the inconsistency between the hypothesized value for a population."— Presentation transcript:
Using the P-Value Section 10.3
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?
Using the P-Value Reject if Fail to Reject if
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
Two-Tailed Test P-Value: Sum of both tails We have to double this to get both tails!
Let’s try one!
For which of the following P-Values would the null hypothesis be rejected if we’re using a 0.05 significance level? 3.12 x 10 -5
State whether the observed p-value leads to rejection of the null at the given significance level.
Find the p-Value associated with each of the given test statistics (z-scores)