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In each of exercise 10.13-10.18, we have presented a confidence interval for the difference,μ1-μ2, between two population means. interpret each confidence intervaL

90% CI from5to10

Short Answer

Expert verified

One can be90%confident that μ1-μ2lies somewhere between 10and5

Equivalently one can be 90%confident that μ1is somewhere greater thanμ2.

Step by step solution

01

Given Information

Given in the question that,

90%CI from5to10 we have to calculate the interpretation of confidence level.

02

Explanation

The mean found in a sample is thought to represent the best estimate of the population's true value. The sample mean of 90percent Cl is interpreted as a range of values containing the genuine population mean with probability 0.90or90%.

Finding a confidence interval for the difference between two means can be used to compare two population means.

Assume that μ1is the mean of a variable in population 1and μ2is the mean of a variable in population 2. The sampling distribution of the difference between two means is then μ1-μ2.

Given a90percent confidence interval, Cl ranges from5to10

The confidence interval's endpoints are both positive values in this case.

This means that μ1-μ2is 90% certain to exist someplace.

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Most popular questions from this chapter

Recess and Wasted Food. Refer to Exercise 10.50 and find a 98% confidence interval for the difference between the mean amount of food wasted for lunches before recess and that for lunches after recess.

In each of Exercises 10.35-10.38, we have provided summary statistics for independent simple random samples from two populations. Preliminary data analyses indicate that the variable under consideration is normally distributed on each population. Decide, in each case, whether use of the pooled t-test and pooled t-interval procedure is reasonable. Explain your answer.

10.38 x1=39.04,s1=18.82,n1=51

x2=49.92,s2=18.97,n2=53

Suppose that the sample sizes, n4and n2, are equal for independent simple random samples from two populations.

a. Show that the values of the pooled and nonpooled r-statistics will be identical. (Hint: Refer to Exercise 10.61 on page 417.)

b. Explain why part (a) does not imply that the two t-tests are Equivalent (i.e., will necessarily lead to the same conclusion) when the sample sizes are equal.

Political Prisoners. According to the American Psychiatric Association, posttraumatic stress disorder (PTSD) is a common psychological consequence of traumatic events that involve a threat to life or physical integrity. During the Cold War, some 200,000 people in East Germany were imprisoned for political reasons. Many were subjected to physical and psychological torture during their imprisonment, resulting in PTSD. A. Ehlers et al. studied various characteristics of political prisoners from the former East Germany and presented their findings in the paper "Posttraumatic Stress Dis-order (PTSD) Following Political Imprisonment: The Role of Mental Defeat, Alienation, and Perceived Permanent Change" (Journal of Abnormal Psychology, Vol. 109, pp. 45-55). The researchers randomly and independently selected 32 former prisoners diagnosed with chronic PTSD and 20 former prisoners that were diagnosed with PTSD after release from prison but had since recovered (remitted). The ages, in years, at arrest yielded the following summary statistics.

At the 10% significance level, is there sufficient evidence to conclude that a difference exists in the mean age at arrest of East German prisoners with chronic PTSD and remitted PTSD?

H2:μ1<μ2

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