Bundle: Statistics for Business & Economics, Loose-Leaf Version, 13th + MindTap Business Statistics with XLSTAT, 1 term (6 months) Printed Access Card
13th Edition
ISBN: 9781337148092
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: Cengage Learning
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Chapter 2.4, Problem 41E
People often wait until middle age to worry about having a healthy heart. However, recent studies have shown that earlier monitoring of risk factors such as blood pressure can be very beneficial (The Wall Street Journal, January 10, 2012). Having higher than normal blood pressure, a condition known as hypertension, is a major risk factor for heart disease. Suppose a large sample of individuals of various ages and gender was selected and that each individual’s blood pressure was measured to determine if they have hypertension. For the sample data, the following table shows the percentage of individuals with hypertension.
- a. Develop a side-by-side bar chart with age on the horizontal axis, the percentage of individuals with hypertension on the vertical axis, and side-by-side bars based on gender.
- b. What does the display you developed in part (a), indicate about hypertension and age?
- c. Comment on differences by gender.
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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…
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 2 Solutions
Bundle: Statistics for Business & Economics, Loose-Leaf Version, 13th + MindTap Business Statistics with XLSTAT, 1 term (6 months) Printed Access Card
Ch. 2.1 - Methods 1. The response to a question has three...Ch. 2.1 - A partial relative frequency distribution is...Ch. 2.1 - A questionnaire provides 58 Yes, 42 No, and 20...Ch. 2.1 - for the 20102011 viewing season, the top five...Ch. 2.1 - In alphabetical order, the six most common last...Ch. 2.1 - Nielsen Media Research provided the list of the 25...Ch. 2.1 - The Canmark Research Center Airport Customer...Ch. 2.1 - Data for a sample of 55 members of the Baseball...Ch. 2.1 - Nearly 1.8 million bachelors degrees and over...Ch. 2.1 - VirtualTourist provides ratings for hotels...
Ch. 2.2 - Consider the following data. a. Develop a...Ch. 2.2 - Consider the following frequency distribution....Ch. 2.2 - Construct a histogram for the data in exercise 12.Ch. 2.2 - Consider the following data. a. Construct a dot...Ch. 2.2 - Construct a stem-and-leaf display for the...Ch. 2.2 - Construct a stem-and-leaf display for the...Ch. 2.2 - Applications A doctors office staff studied the...Ch. 2.2 - CBSSports.com developed the Total Player Ratings...Ch. 2.2 - Based on the tons handled in a year, the ports...Ch. 2.2 - The London School of Economics and the Harvard...Ch. 2.2 - Fortune provides a list of Americas largest...Ch. 2.2 - entrepreneur magazine ranks franchises using...Ch. 2.2 - The DATAfile EngineeringSalary contains the median...Ch. 2.2 - Each year America.EDU ranks the best paying...Ch. 2.2 - The 2011 Cincinnati Flying Pig Half-Marathon (13.1...Ch. 2.3 - The following data are for 30 observations...Ch. 2.3 - The following observations are for two...Ch. 2.3 - The Daytona 500 is a 500-mile automobile race held...Ch. 2.3 - The following crosstabulation shows the average...Ch. 2.3 - Recently, management at Oak Tree Golf Course...Ch. 2.3 - The following crosstabulation shows the number of...Ch. 2.3 - Each year Forbes ranks the worlds most valuable...Ch. 2.3 - Refer to Table 2.12. a. Prepare a crosstabulation...Ch. 2.3 - The U.S. Department of Energys Fuel Economy Guide...Ch. 2.4 - The following 20 observations are for two...Ch. 2.4 - Consider the following data on two categorical...Ch. 2.4 - The following crosstabulation summarizes the data...Ch. 2.4 - A study on driving speed (miles per hour) and fuel...Ch. 2.4 - The Current Results website lists the average...Ch. 2.4 - People often wait until middle age to worry about...Ch. 2.4 - Smartphones are advanced mobile phones with...Ch. 2.4 - The Northwest regional manager of an outdoor...Ch. 2 - Approximately 1.5 million high school students...Ch. 2 - The DATAfile MedianHousehold contains the median...Ch. 2 - Data showing the population by state in millions...Ch. 2 - A startup companys ability to gain funding is a...Ch. 2 - Consumer complaints are frequently reported to the...Ch. 2 - The term Beta refers to a measure of a stocks...Ch. 2 - The U.S. Census Bureau serves as the leading...Ch. 2 - western University has only one womens softball...Ch. 2 - Fortune magazine publishes an annual survey of the...Ch. 2 - Table 2.18 shows a portion of the data for a...Ch. 2 - Refer to the data set in Table 2.18. a. Construct...Ch. 2 - Refer to the data set in Table 2.18. a. Construct...Ch. 2 - Refer to the data set in Table 2.18. a. Prepare a...Ch. 2 - Google has changed its strategy with regard to how...Ch. 2 - A zoo has categorized its visitors into three...Ch. 2 - Pelican Stores Pelican Stores, a division of...Ch. 2 - Motion Picture Industry The motion picture...Ch. 2 - Queen City Cincinnati, Ohio, also known as 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_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_forward8 (Correlation and Diversification) Assume we have two stocks, A and B, show that a particular combination of the two stocks produce a risk-free portfolio when the correlation between the return of A and B is -1.arrow_forward
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