Bundle: Essentials of Statistics for Business and Economics, Loose-leaf Version, 8th + MindTap Business Statistics, 1 term (6 months) Printed Access Card
8th Edition
ISBN: 9781337589147
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: Cengage Learning
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Chapter 11, Problem 33SE
To determine
Check whether the sample is sufficient to conclude that the two production departments differ in terms of unit cost variance.
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2. An experiment is set up to test the effectiveness of a new drug for balancing
people's mood. The table below contains the results of the patients before and
after taking the drug. The possible scores are the integers from 0 to 10, where
0 indicates a depressed mood and 10 indicates and elated mood.
Patient Before
After
1
4
4
2
3
3
3
6
4
4
1
2
5
6
5
6
1
3
7
4
7
8
6
9
1
4
10
5
4
Assuming the differences of the observations to be symmetric, but not normally
distributed, investigate the effectiveness of the drug at the 5% significance level.
[4 Marks]
3. (i) Consider the following R code:
wilcox.test(UK Supermarkets $Salary ~ UKSupermarkets $Supermarket)
(a) Which test is being used in this code?
(b) What is the name of the dataset under consideration?
How would be adapt this code if we had ties? What other command
can be used which deals with ties?
(ii) Consider the following R code:
install packages("nortest")
library(nortest)
lillie.test (Differences)
(a) Assuming the appropriate dataset has been imported and attached,
what is wrong with this code?
(b) If this code were to be corrected, what would be determined by run-
ning it?
[3 Marks]
1. (i) Explain the difference in application between the Mann-Whitney U test
and the Wilcoxon Signed-Rank test, i.e. in which scenarios would each test be
used?
(ii) What is the main procedure underlying these nonparametric tests?
[3 Marks]
Chapter 11 Solutions
Bundle: Essentials of Statistics for Business and Economics, Loose-leaf Version, 8th + MindTap Business Statistics, 1 term (6 months) Printed Access Card
Ch. 11.1 - 1. Find the following chi-square distribution...Ch. 11.1 - Prob. 2ECh. 11.1 - A sample of 16 items provides a sample standard...Ch. 11.1 - Prob. 4ECh. 11.1 - Prob. 5ECh. 11.1 - Prob. 6ECh. 11.1 - Volatility of General Electric Stock. To analyze...Ch. 11.1 - Variability in Daily Change in Stock Price....Ch. 11.1 - Prob. 9ECh. 11.1 - Costco Customer Satisfaction. Consumer Reports...
Ch. 11.1 - Prob. 11ECh. 11.1 - Vehicle Ownership by Fortune Magazine Subscribers....Ch. 11.2 - Find the following F distribution values from...Ch. 11.2 - A sample of 16 items from population 1 has a...Ch. 11.2 - Prob. 15ECh. 11.2 - Comparing Risk of Mutual Funds. Investors commonly...Ch. 11.2 - Repair Costs as Automobiles Age. In its 2016 Auto...Ch. 11.2 - Prob. 18ECh. 11.2 - Prob. 19ECh. 11.2 - Prob. 20ECh. 11.2 - 21. Many smartphones, especially those of the...Ch. 11.2 - Prob. 22ECh. 11 - 23. Because of staffing decisions, managers of the...Ch. 11 - Prob. 24SECh. 11 - Prob. 25SECh. 11 - Prob. 26SECh. 11 - Prob. 27SECh. 11 - Prob. 28SECh. 11 - Daily Patient Volume at Dental Clinic. A sample of...Ch. 11 - A sample standard deviation for the number of...Ch. 11 - Golf Scores. Is there any difference in the...Ch. 11 - Grade Point Average Comparison. The grade point...Ch. 11 - Prob. 33SECh. 11 - Two new assembly methods are tested and the...
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- Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include: Mileage (mpg) Number of Cylinders (cyl) Displacement (disp) Horsepower (hp) Research: Google to understand these variables. Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp Mean Median First Quartile (Q1) Second Quartile (Q2) Third Quartile (Q3) Fourth Quartile (Q4) 10th Percentile 70th Percentile Skewness Kurtosis Document Your Results: In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command” In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…arrow_forwardExamine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include: Mileage (mpg) Number of Cylinders (cyl) Displacement (disp) Horsepower (hp) Research: Google to understand these variables. Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp Mean Median First Quartile (Q1) Second Quartile (Q2) Third Quartile (Q3) Fourth Quartile (Q4) 10th Percentile 70th Percentile Skewness Kurtosis Document Your Results: In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command” In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…arrow_forwardExamine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include: Mileage (mpg) Number of Cylinders (cyl) Displacement (disp) Horsepower (hp) Research: Google to understand these variables. Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp Mean Median First Quartile (Q1) Second Quartile (Q2) Third Quartile (Q3) Fourth Quartile (Q4) 10th Percentile 70th Percentile Skewness Kurtosis Document Your Results: In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command” In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…arrow_forward
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