Explanation Calculation: Test statistic for z : The z statistic value for sample test statistic x ¯ is, z = x ¯ − μ ( σ n ) In the formula x ¯ is mean of a simple random sample, μ is value stated in H 0 , σ is known standard deviation, and n is the sample size. Let μ denotes the average wave height. From the given information the value of α is 0.01, and the storm is (perhaps temporarily) increasing above the severe rating. The null and alternative hypothesis is, Null hypothesis: H 0 : μ = 16.4 Alternative hypothesis: H 1 : μ > 16.4 Z-statistic : Substitute x ¯ as 17.3, μ as 16.4, σ as 3.5, and n as 36 in the test statistic formula z = 17.3 − 16.4 ( 3.5 36 ) = 0.9 0

Understandable Statistics: Concepts And Methods

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Chapter 8.2, Problem 27P

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Check whether the null hypothesis is rejecting or fail to reject by using the critical region method.

Compare the conclusion of critical value method with the P-value method.

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Check whether the null hypothesis is rejecting or fail to reject by using the critical region method. Compare the conclusion of critical value method with the P -value method.

Solution Summary: The author compares the conclusion of critical value method with the P -value method.

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Check whether the null hypothesis is rejecting or fail to reject by using the critical region method.

Compare the conclusion of critical value method with the P-value method.

Want to see the full answer?

Chapter 8 Solutions

Check whether the null hypothesis is rejecting or fail to reject by using the critical region method. Compare the conclusion of critical value method with the P -value method.

Solution Summary: The author compares the conclusion of critical value method with the P -value method.

Concept explainers

Videos

Check whether the null hypothesis is rejecting or fail to reject by using the critical region method. Compare the conclusion of critical value method with the P-value method.

Want to see the full answer?

Chapter 8 Solutions

Check whether the null hypothesis is rejecting or fail to reject by using the critical region method.

Compare the conclusion of critical value method with the P-value method.