QNT 561 Week 4 Weekly Learning Assessments
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Chapter 10 Exercise 2 [The following information applies to the questions displayed below.] A sample of 36 observations is selected from a normal population. The sample mean is 12, and the population standard deviation is 3. Conduct the following test of hypothesis using the 0.01 significance level H0: μ ≤ 10 H1: μ > 10 1. Award: 10 out of 10.00 points a. Is this a one or twotailed test? b. What is the decision rule? 
c. What is the value of the test statistic?
d. What is your decision regarding H0?
e. What is the pvalue?
Chapter 10 Exercise 10
Given the following hypotheses:
H0 : μ = 400
H1 : μ ≠ 400
A random sample of 12 observations is selected from a normal population. The sample mean was 407 and the sample standard deviation 6. Using the .01 significance level:
a. State the decision rule. (Negative amount should be indicated by a minus sign. Round your answers to 3 decimal places.)
b. Compute the value of the test statistic. (Round your answer to 3 decimal places.)
c. What is your decision regarding the null hypothesis?
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Chapter 10 Exercise 12
The management of White Industries is considering a new method of assembling its golf cart. The present method requires 42.3 minutes, on the average, to assemble a cart. The mean assembly time for a random sample of 24 carts, using the new method, was 40.6 minutes, and the standard deviation of the sample was 2.7 minutes. Using the .10 level of significance, can we conclude that the assembly time using the new method is faster?
a. What is the decision rule? (Negative amount should be indicated by a minus sign. Round your answer to 3 decimal places.)
b. Compute the value of the test statistic. (Negative amount should be indicated by a minus sign. Round your answer to 3 decimal places.)
c. What is your decision regarding H0?
Chapter 10 Exercise 16
Given the following hypotheses:
H0 : μ = 100
H1 : μ ≠ 100
A random sample of six resulted in the following values: 118, 105, 112, 119, 105, and 111. Assume a normal population.
a. Using the .05 significance level, determine the decision rule? (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.)
b. Compute the value of the test statistic. (Round your answer to 2 decimal places.)
c1. What is your decision regarding the H0?
c2. Can we conclude the mean is different from 100?
d. Estimate the pvalue.
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Chapter 11 Exercise 2
A sample of 65 observations is selected from one population with a population standard deviation of 0.75. The sample mean is 2.67. A sample of 50 observations is selected from a second population with a population standard deviation of 0.66. The sample mean is 2.59. Conduct the following test of hypothesis using the .08 significance level.
H0 : μ1 ≤ μ2
H1 : μ1 > μ2
a. This a tailed test.
b. State the decision rule. (Negative values should be indicated by a minus sign. Round your answer to 2 decimal places.)
c. Compute the value of the test statistic. (Round your answer to 2 decimal places.)
d. What is your decision regarding H0?
e. What is the pvalue? (Round your answer to 4 decimal places.)
Chapter 11 Exercise 8
The null and alternate hypotheses are:
A random sample of 15 observations from the first population revealed a sample mean of 350 and a sample standard deviation of 12. A random sample of 17 observations from the second population revealed a sample mean of 342 and a sample standard deviation of 15.
At the .10 significance level, is there a difference in the population means?
a. This is a tailed test.
b. The decision rule is to reject if (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.)
c. The test statistic is (Round your answer to 3 decimal places.)
d. What is your decision regarding?
e. The pvalue is between and.
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Chapter 11 Exercise 14
The null and alternate hypotheses are:
H0: μ1 ≤ μ2
H1: μ1 > μ2
A random sample of 20 items from the first population showed a mean of 100 and a standard deviation of 15. A sample of 16 items for the second population showed a mean of 94 and a standard deviation of 8. Use the .05 significant level.
a. Find the degrees of freedom for unequal variance test. (Round down your answer to the nearest whole number.)
b. State the decision rule for .05 significance level. (Round your answer to 3 decimal places.)
c. Compute the value of the test statistic. (Round your answer to 3 decimal places.)
d. What is your decision regarding the null hypothesis? Use the .05 significance level.
Chapter 12 Exercise 8
The following are six observations collected from treatment 1, four observations collected from treatment 2, and five observations collected from treatment 3. Test the hypothesis at the 0.05 significance level that the treatment means are equal. 
Treatment1 Treatment 2 Treatment 3
9 13 10
7 20 9
11 14 15
9 13 14
12 15
10
a. State the null and the alternate hypothesis.
Ho :
H1 : Treatment means are all the same.
b. What is the decision rule? (Round your answer to 2 decimal places.)
c. Compute SST, SSE, and SS total. (Round your answers to 2 decimal places.)
d. Complete the ANOVA table. (Round SS, MS and F values to 2 decimal places.)
e. State your decision regarding the null hypothesis.
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Chapter 12 Exercise 14
A stock analyst wants to determine whether there is a difference in the mean rate of return for three types of stock: utility, retail, and banking stocks. The following output is obtained:
a. Using the .05 level of significance, is there a difference in the mean rate of return among the three types of stock?
b. Can the analyst conclude there is a difference between the mean rates of return for utility and retail stocks? For utility and banking stocks? For banking and retail stocks? Explain.
Chapter 12 Exercise 18

There are three hospitals in the Tulsa, Oklahoma, area. The following data show the number of outpatient surgeries performed on Monday, Tuesday, Wednesday, Thursday, and Friday at each hospital last week. At the 0.05 significance level, can we conclude there is a difference in the mean number of surgeries performed by hospital or by day of the week? 

Number of Surgeries Performed 


Day 
St. Luke's 
St. Vincent 
Mercy 


Monday 
14 
18 
24 


Tuesday 
20 
24 
14 


Wednesday 
16 
22 
14 


Thursday 
18 
20 
22 


Friday 
20 
28 
24 





1.Set up the null hypothesis and the alternative hypothesis.
For Treatment:
Null hypothesis
H0: µSt. Luke's = µSt. Vincent =
2. Alternative hypothesis
H1: Not all means are
3. For blocks:
Null hypothesis
H0: µMon = µTue = µWed = µThu =
4. Alternative hypothesis
H1: Not all means are
5. State the decision rule for .05 significance level. (Round your answers to 2 decimal places.)
For Treatment:
Reject H0 if F>
For blocks:
Reject H0 if F>
6. Complete the ANOVA table. (Round SS, MS and F to 2 decimal places.)
7.What is your decision regarding the null hypothesis?
The decision for the F value (Treatment) at 0.05 significance is:
Do not Reject
8. The decision for the F value (Block) at 0.05 significance is:
Do not Reject
9. Can we conclude there is a difference in the mean number of surgeries performed by hospital or by day of the week?
There is no in the mean number of surgeries performed by hospital or by day of the week.
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Chapter 13 Exercise 16
Mr. James Mc Whinney, president of DanielJames Financial Services, believes there is a relationship between the number of client contacts and the dollar amount of sales. To document this assertion, Mr. Mc Whinney gathered the following sample information. The X column indicates the number of client contacts last month, and the Y column shows the value of sales ($ thousands) last month for each client sampled. 
Number of Sales Number of Sales
Contacts, ($ thousands), Contacts, ($ thousands),
X Y X Y
14 24 23 30
12 14 48 90
20 28 50 85
16 30 55 120
46 80 50 110
a. Determine the regression equation. (Negative amounts should be indicated by a minus sign. Do not round intermediate calculations. Round final answers to 2 decimal places.)
b. Determine the estimated sales if 40 contacts are made.(Do not round intermediate calculations. Round final answers to 2 decimal places.)
Chapter 13 Exercise 18
We are studying mutual bond funds for the purpose of investing in several funds. For this particular study, we want to focus on the assets of a fund and its fiveyear performance. The question is: Can the fiveyear rate of return be estimated based on the assets of the fund? Nine mutual funds were selected at random, and their assets and rates of return are shown below. 
Assets Return Assets Return
Fund ($ millions) (%) Fund ($ millions) (%)
AARP High Quality Bond $622.20 10.8 MFS Bond A $494.50 11.6
Babson Bond L 160.4 11.3 Nichols Income 158.3 9.5
Compass Capital
Fixed Income 275.7 11.4 T. Rowe Price
Shortterm 681 8.2
Galaxy Bond Retail 433.2 9.1 Thompson Income B 241.3 6.8
Keystone Custodian B1 437.9 9.2
b1. Compute the coefficient of correlation. (Round your answer to 3 decimal places. Negative amount should be indicated by a minus sign.)
b2. Compute the coefficient of determination. (Round your answer to 3 decimal places.)
c. Give a description of the degree of association between the variables.
d. Determine the regression equation. Use assets as the independent variable. (Round your answers to 4 decimal places. Negative amounts should be indicated by a minus sign.)
e. For a fund with $400.0 million in sales, determine the fiveyear rate of return (in percent). (Round your answer to 4 decimal places.)
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Chapter 13 Exercise 30
On the first statistics exam, the coefficient of determination between the hours studied and the grade earned was 80%. The standard error of estimate was 10. There were 20 students in the class. Develop an ANOVA table for the regression analysis of hours studied as a predictor of the grade earned on the first statistics exam. 
Source DF SS MS
Regression
Error
Total
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