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Mandate Perceptions. L. Grossback et al. examined mandate perceptions and their causes in the paper "Comparing Competing Theories on the Causes of Mandate Perceptions" (American Journal of Political Science, Vol. 49, Issue 2, pp.406−419406−419). Following are data on the percentage of members in each chamber of Congress who reacted to mandates in various years.
Use the technology of your choice to answer the following questions. Explain your answers.
a. if you have to choose between the use of pooled t -procedures and non-pooled t -procedures here, which would you choose?
b. Is it reasonable to use the type of procedure that you sclected in part (a)?

Short Answer

Expert verified

(a) Nonpooled t-test is appropriate. On comparing the standard deviations, shouse=11.13scount=8.29. So nonpooled t- test is recommended.

(b) Yes, it is reasonable to use the nonpooled t-test because the normal probability plot shows the normality of each of the members.

Step by step solution

01

Part (a) Step 1. Given Information.

The data on the percentage of members in each chamber of Congress who reacted to mandates in various years.

02

Part (a) Step 2. MINITAB procedure.

By usinng MINITAB,

03

Part (a) Step 3. Explanation.

Nonpooled t-test is appropriate. On comparing the standard deviations,shouse=11.13scount=8.29 . So nonpooled t- test is recommended.

04

Part (b) Step 1. Draw the probability plot of senate and house.

The probability plot of senate is:

And the probability plot of house iss:

05

Part (b) Step 2. Explanation.

Yes, it is reasonable to use the nonpooled t-test because the normal probability plot shows the normality of each of the members.

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Most popular questions from this chapter

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

Why do you need to know the sampling distribution of the difference between two sample means in order to perform a hypothesis test to compare two population means?

Wing Length. Refer to Exercise 10.86 and find a 99 con fidence interval for the difference between the mean wing lengths c the two subspecies.

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.

95% CI is from15to20

Right-Tailed Hypothesis Tests and CIs. If the assumptions for a pooled t-interval are satisfied, the formula for a (1-α)-level lower confidence bound for the difference, μ1-μ2, between two population means is

x¯1-x^2-ta·Sp1/n1+1/n2

For a right-tailed hypothesis test at the significance level α,

the null hypothesis H0:μ1=μ2will be rejected in favor of the alternative hypothesis Ha:μ1>μ2if and only if the (1-α)-level lower confidence bound for μ1-μ2is greater than or equal to 0. In each case, illustrate the preceding relationship by obtaining the appropriate lower confidence bound and comparing the result to the conclusion of the hypothesis test in the specified exercise.

a. Exercise 10.47

b. Exercise 10.50

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