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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.

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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:

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!

7

8 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

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)

11

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


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