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The health director of a large company is concerned about the effects of stress on the company’s middle-aged male employees. According to the National Center for Health Statistics, the mean systolic blood pressure for males 35 to 44 years of age is 128. The health director examines the medical records of a random sample of 72 male employees in this age group. The Minitab output below displays the results of a significance test and a confidence interval.

1. Do the results of the significance test allow us to conclude that the mean blood pressure for all the company’s middle-aged male employees differs from the national average? Justify your answer.

2. Interpret the 95% confidence interval in context. Explain how the confidence interval leads to the same conclusion as in Question 1.

Short Answer

Expert verified

Part (a) Test is not significant.

Part (b) Null hypothesis is rejected.

Step by step solution

01

Part (a) Step 1. Interpretation 

The p-value as indicated in the Minitab output is equal to 0.275 which is greater than 0.05. As a result, the test is not significant and there is insufficient evidence to reject the null hypothesis that there is no difference.

02

Part (b) Step 1. Interpretation 

The sample mean and test statistic as indicated in the Minitab output is equal to 129.93 and 1.10 respectively. If the sample means is extended to either side of the test statistic at a 95% confidence interval will still belong to the confidence interval. As a result, it shows there is insufficient evidence to reject the null hypothesis that there is no difference.

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Most popular questions from this chapter

When asked to explain the meaning of the P-value in Exercise 13, a student

says, “This means there is only probability 0.01 that the null hypothesis is true.” Explain clearly why the student’s explanation is wrong.

Tests and CIs The P-value for a one-sided test of the null hypothesisH0:μ=15is 0.03.

(a) Does the 99%confidence interval for μinclude 15? Why or why not?

(b) Does the 95%confidence interval for μinclude 15? Why or why not?

Roulette an American roulette wheel has 18red slots among its 38slots.In a random sample of 50pins,the ball lands in a red slot 31times.

(a) Do the data give convincing evidence that the wheel is unfair? Carry out an appropriate test at theα=0.05significance level to help answer this question.

(b) The casino manager uses your data to produce a 99%confidence interval for pand gets role="math" localid="1650358305073" 0.44,0.80. He says that this interval provides convincing evidence that the wheel is fair. How do you respond?

- If conditions are met, conduct a one-sample \(t\) test about a population mean \(\mu\).

A 95%confidence interval for a population mean is calculated to be (1.7,3.5). Assume that the conditions for performing inference are met. What conclusion can we draw for a test of role="math" localid="1650275427722" H0:μ=2versus Ha:μ2at the A=0.05level based on the confidence interval?

(a) None. We cannot carry out the test without the original data.

(b) None. We cannot draw a conclusion at the A=0.05level since this test is connected to the 97.5%confidence interval.

(c) None. Confidence intervals and significance tests are unrelated procedures.

(d) We would reject H0at level A=0.05.

(e) We would fail to reject H0at level A=0.05.

The most important condition for sound conclusions from statistical inference is that

(a) the data come from a well-designed random sample or randomized experiment

(b) the population distribution be exactly Normal.

(c) the data contain no outliers.

(d) the sample size be no more than 10%of the population size.

(c) the sample size be at least 30.

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