Essentials of Business Analytics (MindTap Course List)
2nd Edition
ISBN: 9781305627734
Author: Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Publisher: Cengage Learning
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Textbook Question
Chapter 3, Problem 14P
The total number of term life insurance contracts sold in Problem 13 is 199. The following pie chart shows the percentages of contracts sold by each salesperson.
- a. What are the problems with using a pie chart to display these data?
- b. What type of chart would be preferred for displaying the data in this pie chart?
- c. Use a different type of chart to display the percentage of contracts sold by each salesperson that conveys the data better than the pie chart. Format the chart and add data labels to improve the chart’s readability.
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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…
Chapter 3 Solutions
Essentials of Business Analytics (MindTap Course List)
Ch. 3 - A sales manager is trying to determine appropriate...Ch. 3 - The following table shows an example of gross...Ch. 3 - The following table provides monthly revenue...Ch. 3 - In the file MajorSalary, data have been collected...Ch. 3 - Entrepreneur magazine ranks franchises. Among the...Ch. 3 - The file MutualFunds contains a data set with...Ch. 3 - The file TaxData contains information from federal...Ch. 3 - The file FDICBankFailures contains data on...Ch. 3 - The following 20 observations are for two...Ch. 3 - The file Fortune500 contains data for profits and...
Ch. 3 - The International Organization of Motor Vehicle...Ch. 3 - Prob. 12PCh. 3 - Prob. 13PCh. 3 - The total number of term life insurance contracts...Ch. 3 - An automotive company is considering the...Ch. 3 - Consider the following survey results regarding...Ch. 3 - The Northwest regional manager of Logan Outdoor...Ch. 3 - The Ajax Company uses a portfolio approach to...Ch. 3 - Heat maps can be very useful for identifying...Ch. 3 - The following table shows monthly revenue for six...Ch. 3 - Prob. 21PCh. 3 - Aurora Radiological Services is a health care...Ch. 3 - The motion picture industry is an extremely...
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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_forward2 (VaR and ES) Suppose X1 are independent. Prove that ~ Unif[-0.5, 0.5] and X2 VaRa (X1X2) < VaRa(X1) + VaRa (X2). ~ Unif[-0.5, 0.5]arrow_forward
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