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Chapter 9: Q. 9.47 (page 370)

State two reasons why including the P-value is prudent when you are reporting the results of a hypothesis test.

Short Answer

Expert verified

The two reasons are as follows:

1. The P value allows you to check the value at any level you want because it provides the lowest value level we can rejectH0

2. From the P-value we can test the strength of the evidence againstH0

Step by step solution

01

Step 1. Given 

The results of a hypothesis test.

02

Step 2. Reasons 

The two reasons are as follows:

1. The P value allows you to check the value at any level you want because it provides the lowest value level we can rejectH0

2. From the P-value we can test the strength of the evidence againstH0

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Most popular questions from this chapter

Determine the critical value(s) for a one-mean z-test at the 1 % significance level if the test is

a. right tailed.

b. left tailed.

c. two tailed.

Data on salaries in the public school system are published annually in Ranking of the States and Estimates of School Statistics by the National Education Association. The mean annual salary of (public) classroom teachers is $55.4thousand. A hypothesis test is to be performed to decide whether the mean annual salary of classroom teachers in Ohio is greater than the national mean.

9.95 Two-Tailed Hypothesis Tests and CIs. As we mentioned on page 378 , the following relationship holds between hypothesis tests and confidence intervals for one-mean z-procedures: For a two-tailed hypothesis test at the significance level 伪, the null hypothesis H0:渭=渭0 will be rejected in favor of the alternative hypothesis Ha:渭鈮�渭0if and only if 渭0 lies outside the (1-伪)-level confidence interval for 渭. In each case, illustrate the preceding relationship by obtaining the appropriate one-mean z-interval (Procedure 8.1 on page 322 ) and comparing the result to the conclusion of the hypothesis test in the specified exercise.
a. Exercise 9.84
b. Exercise 9.87

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