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Introductory Statistics

Prem S. Mann

Chapter 10

Estimation and Hypothesis Testing: Two Populations - all with Video Answers

Educators


Section 1

Inferences About the Difference Between Two Population Means for Independent Samples:$\sigma_{1}$ and $\sigma_{2}$ Known

01:56

Problem 1

Briefly explain the meaning of independent and dependent samples. Give one example of each.

Jill Tolbert
Jill Tolbert
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02:36

Problem 2

Describe the sampling distribution of $\bar{x}_{1}-\bar{x}_{2}$ for two independent samples when $\sigma_{1}$ and $\sigma_{2}$ are known and either both sample sizes are large or both populations are normally distributed. What are the mean and standard deviation of this sampling distribution?

Jameson Kuper
Jameson Kuper
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04:31

Problem 3

The following information is obtained from two independent samples selected from two normally distributed populations.
$$
\begin{array}{lll}
n_{1}=18 & \bar{x}_{1}=7.82 & \sigma_{1}=2.35 \\
n_{2}=15 & \bar{x}_{2}=5.99 & \sigma_{2}=3.17
\end{array}
$$
a. What is the point estimate of $\mu_{1}-\mu_{2}$ ?
b. Construct a $99 \%$ confidence interval for $\mu_{1}-\mu_{2}$. Find the margin of error for this estimate.

Sheryl Ezze
Sheryl Ezze
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04:31

Problem 4

The following information is obtained from two independent samples selected from two populations.
$$
\begin{array}{lll}
n_{1}=650 & \bar{x}_{1}=1.05 & \sigma_{1}=5.22 \\
n_{2}=675 & \bar{x}_{2}=1.54 & \sigma_{2}=6.80
\end{array}
$$
a. What is the point estimate of $\mu_{1}-\mu_{2}$ ?
b. Construct a $95 \%$ confidence interval for $\mu_{1}-\mu_{2}$. Find the margin of error for this estimate.

Sheryl Ezze
Sheryl Ezze
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04:26

Problem 5

Refer to the information given in Exercise $10.3$. Test at the $5 \%$ significance level if the two population means are different.

Raymond Matshanda
Raymond Matshanda
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03:08

Problem 6

Refer to the information given in Exercise $10.4$. Test at the $1 \%$ significance level if the two population means are different.

Raymond Matshanda
Raymond Matshanda
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Problem 7

Refer to the information given in Exercise $10.4$. Test at the $5 \%$ significance level if $\mu_{1}$ is less than $\mu_{2}$.

Victor Salazar
Victor Salazar
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Problem 8

Refer to the information given in Exercise $10.3$. Test at the $1 \%$ significance level if $\mu_{1}$ is greater than $\mu_{2}$

Victor Salazar
Victor Salazar
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Problem 9

In parts of the eastern United States, whitetail deer are a major nuisance to farmers and homeowners, frequently damaging crops, gardens, and landscaping. A consumer organization arranges a test of two of the leading deer repellents $\mathrm{A}$ and $\mathrm{B}$ on the market. Fifty-six unfenced gardens in areas having high concentrations of deer are used for the test. Twenty-nine gardens are chosen at random to receive repellent $\mathrm{A}$, and the other 27 receive repellent $\mathrm{B} .$ For each of the 56 gardens, the time elapsed between application of the repellent and the appearance in the garden of the first deer is recorded. For repellent $\mathrm{A}$, the mean time is 101 hours. For repellent $\mathrm{B}$, the mean time is 92 hours. Assume that the two populations of elapsed times have normal distributions with population standard deviations of 15 and 10 hours, respectively.
a. Let $\mu_{1}$ and $\mu_{2}$ be the population means of elapsed times for the two repellents, respectively. Find the point estimate of $\mu_{1}-\mu_{2}$.
b. Find a $97 \%$ confidence interval for $\mu_{1}-\mu_{2}$.
c. Test at the $2 \%$ significance level whether the mean elapsed times for repellents $\mathrm{A}$ and $\mathrm{B}$ are different. Use both approaches, the critical-value and $p$ -value, to perform this test.

Rashmi Sinha
Rashmi Sinha
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06:13

Problem 10

The U.S. Department of Labor collects data on unemployment insurance payments. Suppose that during 2009 a random sample of 70 unemployed people in Alabama received an average weekly benefit of $\$ 199.65$, whereas a random sample of 65 unemployed people in Mississippi received an average weekly benefit of $\$ 187.93$. Assume that the population standard deviations of all weekly unemployment benefits in Alabama and Mississippi are $\$ 32.48$ and $\$ 26.15$, respectively.
a. Let $\mu_{1}$ and $\mu_{2}$ be the means of all weekly unemployment benefits in Alabama and Mississippi paid during 2009 , respectively. What is the point estimate of $\mu_{1}-\mu_{2}$ ?
b. Construct a $96 \%$ confidence interval for $\mu_{1}-\mu_{2}$.
c. Using the $4 \%$ significance level, can you conclude that the means of all weekly unemployment benefits in Alabama and Mississippi paid during 2009 are different? Use both approaches to make this test.

Robin Corrigan
Robin Corrigan
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03:42

Problem 11

A local college cafeteria has a self-service soft ice cream machine. The cafeteria provides bowls that can hold up to 16 ounces of ice cream. The food service manager is interested in comparing the average amount of ice cream dispensed by male students to the average amount dispensed by female students. A measurement device was placed on the ice cream machine to determine the amounts dispensed. Random samples of 85 male and 78 female students who got ice cream were selected. The sample averages were $7.23$ and $6.49$ ounces for the male and female students, respectively. Assume that the population standard deviations are $1.22$ and $1.17$ ounces, respectively.
a. Let $\mu_{1}$ and $\mu_{2}$ be the population means of ice cream amounts dispensed by all male and female students at this college, respectively. What is the point estimate of $\mu_{1}-\mu_{2} ?$
b. Construct a $95 \%$ confidence interval for $\mu_{1}-\mu_{2}$.
c. Using the $1 \%$ significance level, can you conclude that the average amount of ice cream dispensed by male college students is larger than the average amount dispensed by female college students? Use both approaches to make this test.

Harsh Gadhiya
Harsh Gadhiya
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Problem 12

Employees of a large corporation are concerned about the declining quality of medical services provided by their group health insurance. A random sample of 100 office visits by employees of this corporation to primary care physicians during 2004 found that the doctors spent an average of 19 minutes with

Danielle Fairburn
Danielle Fairburn
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01:39

Problem 13

A car magazine is comparing the total repair costs incurred during the first three years on two sports cars, the T-999 and the XPY. Random samples of 45 T-999s and 51 XPYs are taken. All 96 cars are 3 years old and have similar mileages. The mean of repair costs for the 45 T-999 cars is $\$ 3300$ for the first 3 years. For the 51 XPY cars, this mean is $\$ 3850 .$ Assume that the standard deviations for the two populations are $\$ 800$ and $\$ 1000$, respectively.
a. Construct a $99 \%$ confidence interval for the difference between the two population means.
b. Using the $1 \%$ significance level, can you conclude that such mean repair costs are different for these two types of cars?
c. What would your decision be in part $\mathrm{b}$ if the probability of making a Type I error were zero? Explain.

Adriano Chikande
Adriano Chikande
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09:59

Problem 14

The management at New Century Bank claims that the mean waiting time for all customers at its branches is less than that at the Public Bank, which is its main competitor. A business consulting firm took a sample of 200 customers from the New Century Bank and found that they waited an average of $4.5$ minutes before being served. Another sample of 300 customers taken from the Public Bank showed that these customers waited an average of $4.75$ minutes before being served. Assume that the standard deviations for the two populations are $1.2$ and $1.5$ minutes, respectively.
a. Make a $97 \%$ confidence interval for the difference between the two population means.
b. Test at the $2.5 \%$ significance level whether the claim of the management of the New Century Bank is true.
c. Calculate the $p$ -value for the test of part b. Based on this $p$ -value, would you reject the null hypothesis if $\alpha=.01 ?$ What if $\alpha=.05 ?$

CW
Cassie Williams
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04:55

Problem 15

Maine Mountain Dairy claims that its 8-ounce low-fat yogurt cups contain, on average, fewer calories than the 8-ounce low-fat yogurt cups produced by a competitor. A consumer agency wanted to check this claim. A sample of 27 such yogurt cups produced by this company showed that they contained an average of 141 calories per cup. A sample of 25 such yogurt cups produced by its competitor showed that they contained an average of 144 calories per cup. Assume that the two populations are normally distributed with population standard deviations of $5.5$ and $6.4$ calories, repectively.
a. Make a $98 \%$ confidence interval for the difference between the mean number of calories in the 8-ounce low-fat yogurt cups produced by the two companies.
b. Test at the $1 \%$ significance level whether Maine Mountain Dairy's claim is true.
c. Calculate the $p$ -value for the test of part b. Based on this $p$ -value, would you reject the null hypothesis if $\alpha=.005 ?$ What if $\alpha=.025$ ?

James Kiss
James Kiss
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