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Using the P-Value Section 10.3

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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?

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Using the P-Value Reject if Fail to Reject if

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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

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

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Let’s try one!

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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

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

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

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

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If we fail to reject the null when the null is false what type of error was made? Type II.

If we fail to reject the null when the null is false what type of error was made? Type II.

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