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9.96 Left-Tailed Hypothesis Tests and Cls. In Exercise 8.105 on page 335, we introduced one-sided one-mean z-intervals. The following relationship holds between hypothesis tests and confidence intervals for one-mean z-procedures: For a left-tailed hypothesis test at the significance level α, the null hypothesis H0:μ=μ0will be rejected in favor of the alternative hypothesis Ha:μ<μ0if and only if μ0is greater than or equal to the (1-α)-level upper confidence bound for μ. In each case, illustrate the preceding relationship by obtaining the appropriate upper confidence bound and comparing the result to the conclusion of the hypothesis test in the specified exercise.
a. Exercise 9.85
b. Exercise 9.86

Short Answer

Expert verified

(a) The null hypothesis H0:μ=18mgis rejected in support of the alternative hypothesis Ha:μ<18mg.

(b) The null hypothesis H0:μ=55years is not rejected in support of the alternative hypothesis Ha:μ<55 years.

Step by step solution

01

Part (a) Step 1: Given information

To illustrate the preceding relationship by obtaining the appropriate upper confidence bound and comparing the result to the conclusion of the hypothesis test in the specified exercise 9.85.

02

Part (a) Step 2: Explanation

Since, the population standard deviation as σ=4.2mg

The null hypothesis is determined as follows:
H0:μ=μ0

H0:μ=18mg

The alternative hypothesis is determined as follows:
Ha:μ<μ0

Ha:μ<18mg

Then the significance level =1%i.e. α=0.01

Sample size,n=45.
Sample mean, x¯=16.68
Calculate the population mean's 100(1-α)% upper confidence bound (one sided one mean z-interval) using MINITAB.
The population mean's 99%upper confidence bound is 16.137mg.
The null hypothesis mean μ=18mg is higher than the upper confidence bound obtained.
It shows that we have rejected the null hypothesis H0:μ=18mgin favor of the alternative hypothesis Ha:μ<18mgat the 1% level of significance.
As a result, the null hypothesis H0:μ=18mg is rejected in support of the alternative hypothesis Ha:μ<18mg.

03

Part (b) Step 1: Given information

To illustrate the preceding relationship by obtaining the appropriate upper confidence bound and comparing the result to the conclusion of the hypothesis test in the specified exercise 9.86.

04

Part (b) Step 2: Explanation

Since, the population standard deviation σ=6.8years .

The null hypothesis is determined as follows:

H0:μ=μ0

H0:μ=55years.

And the alternative hypothesis is determined as follows:

Ha:μ<μ0

Ha:μ<55years.

And the significance level =1%i.e. α=0.01.
Then the sample size, n=21.
The sample mean, x¯=52.5
Calculate the population mean's 100(1-α) upper confidence bound (one sided one mean z-interval) using MINITAB.
The population mean has a 99% upper confidence bound of $55.95$ years.
The null hypothesis mean H0:μ=55 years is lower than the upper confidence bound obtained.
It shows that we have not rejected the null hypothesis H0:μ=55years in support of the alternative hypothesis Ha:μ=55years at the 1 percent level of significance.
As a result, the null hypothesis H0:μ=55years is not rejected in support of the alternative hypothesis Ha:μ<55 years.

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Most popular questions from this chapter

How Far People Drive. In 2011, the average car in the United States was driven 13.5 thousand miles, as reported by the Federal Highway Administration in Highway Statistics. On the WeissStats site, we provide last year's distance driven, in thousands of miles, by each of 500 randomly selected cars. Use the technology of your choice to do the following.

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In each of Exercises 9.41-9.46 ,determine the critical values for a one-mean z-test. For each exercise, draw a graph that illustrates your answer

A right- tailed test withα=0.01

In each of Exercises 9.41-9.46 ,determine the critical values for a one-mean z-test. For each exercise, draw a graph that illustrates your answer

A two-tailed test withα=0.05

The following relationship holds between hypothesis tests and confidence intervals for one-mean t-procedures: For a two-tailed hypothesis test at the significance level α, the null hypothesis H0:μ=μ0will be rejected in favor of the alternative hypothesis Ha:μ>μ0if and only if μ0lies outside the 1-α-level confidence interval for μ. In each case, illustrate the preceding relationship by obtaining the appropriate one-mean t-interval and comparing the result to the conclusion of the hypothesis test in the specified exercise.

Part (a): Exercise 9.113

Part (b): Exercise 9.116

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