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Gray squirrel Refer to Exercise 60.

a. Construct and interpret a 99% confidence interval for the difference between the true means. If you already defined parameters and checked conditions in Exercise 60, you don鈥檛 need to do them again here.

b. Explain how the confidence interval provides more information than the test in Exercise 60.

Short Answer

Expert verified

Part a) We are 99%confident that the mean weight of all gray Eastern gray squirrels is between 0.1471ounces lower and 2.3471 ounces higher than the mean weight of all black Eastern gray squirrels in the forest.

Part b) Because the confidence interval gives us a range of possible values for the difference between the true means, whereas the significance test only checks one possible value for the difference between the means, that is, if the means are equal, the confidence interval gives us more information than the significance test.

Step by step solution

01

Part a) Step 1: Given information

x1=20.3x2=19.2n1=40n2=40s1=2.1s2=1.9=0.01

02

Part a) Step 2: Explanation

There are three requirements that must be met:

Random: It is satisfying because the samples were chosen at random from different populations.

Independent: It is satisfying because the sample of 40grey Eastern grey squirrels represents less than 10%of the total grey Eastern grey squirrel population, and the sample of 40 black Eastern grey squirrels represents less than 10%of the total black Eastern grey squirrel population.

Normal: It is satisfying because both samples are large, with a sample size of at least 30for each.

As a result, all of the requirements have been met.

Now, the degree of freedom will be:

df=min(n1-1,n2-1)=min(56-1,56-1)=55

Then the t-value will be as:

t/2=2.750

As a result, the confidence interval will be:

(x1-x2)-t2s12n1+s22n2=(20.3-19.2)-2.7502.1240+1.9240=-0.1471

Therefore, we conclude that we are 99%confident that the mean weight of all gray Eastern gray squirrels is between 0.1471ounces lower and 2.3471ounces higher than the mean weight of all black Eastern gray squirrels in the forest.

03

Part b) Step 1: Explanation

Because the confidence interval gives us a range of possible values for the difference between the true means, whereas the significance test only checks one possible value for the difference between the means, that is, if the means are equal, the confidence interval gives us more information than the significance test.

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Most popular questions from this chapter

Shrubs and fire Fire is a serious threat to shrubs in dry climates. Some shrubs can

resprout from their roots after their tops are destroyed. Researchers wondered if fire would help with resprouting. One study of resprouting took place in a dry area of Mexico. The researchers randomly assigned shrubs to treatment and control groups. They clipped the tops of all the shrubs. They then applied a propane torch to the stumps of the treatment group to simulate a fire. All 12of the shrubs in the treatment group resprouted. Only 8of the 12shrubs in the control group resprouted.

a. State appropriate hypotheses for performing a significance test. Be sure to define the parameters of interest.

b. Check if the conditions for performing the test are met.

Ban junk food! A CBS News poll asked 606 randomly selected women and 442

randomly selected men, 鈥淒o you think putting a special tax on junk food would encourage more people to lose weight?鈥 170 of the women and 102 of the men said 鈥淵es.鈥 A 99% confidence interval for the difference (Women 鈥 Men) in the true proportion of people in each population who would say 鈥淵es鈥 is 鈭0.020to0.120. Does the confidence interval provide convincing evidence that the two population proportions are equal? Explain your answer.

Friday the 13thRefer to Exercise 88.

a. Construct and interpret a 90%confidence interval for the true mean difference. If you already defined parameters and checked conditions in Exercise 88, you don鈥檛 need to do them again here.

b. Explain how the confidence interval provides more information than the test in Exercise 88.

The P-value for the stated hypotheses is 0.002Interpret this value in the context of this study.

a. Assuming that the true mean road rage score is the same for males and females, there is a 0.002probability of getting a difference in sample means equal to the one observed in this study.

b. Assuming that the true mean road rage score is the same for males and females, there is a 0.002 probability of getting a difference in sample means at least as large in either direction as the one observed in this study.

c. Assuming that the true mean road rage score is different for males and females, there is a 0.002 probability of getting a difference in sample means at least as large in either direction as the one observed in this study.

d. Assuming that the true mean road rage score is the same for males and females, there is a 0.002 probability that the null hypothesis is true.

e. Assuming that the true mean road rage score is the same for males and females, there is a 0.002 probability that the alternative hypothesis is true.

A researcher wished to compare the average amount of time spent in extracurricular activities by high school students in a suburban school district with that in a school district of a large city. The researcher obtained an SRS of 60 high school students in a large suburban school district and found the mean time spent in extracurricular activities per week to be 6 hours with a standard deviation of 3 hours. The researcher also obtained an independent SRS of 40 high school students in a large city school district and found the mean time spent in extracurricular activities per week to be 5 hours with a standard deviation of 2 hours. Suppose that the researcher decides to carry out a significance test of H0:suburban=cityversus a two-sided alternative. Which is the correct standardized test statistic ?

(a)z=(6-5)-0360+240

(b) z=(6-5)-03260+2240

(c) role="math" localid="1654192807425" t=(6-5)-0360+240

(d) t=(6-5)-0360+240

(e)t=(6-5)-03260+2240


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