Essentials Of Statistics For Business & Economics
9th Edition
ISBN: 9780357045435
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: South-Western College Pub
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Textbook Question
Chapter 2.4, Problem 43E
Store Managers Time Study. The Northwest regional manager of an outdoor equipment retailer conducted a study to determine how managers at three store locations are using their time. A summary of the results are shown in the following table.
- a. Create a stacked bar chart with store location on the horizontal axis and percentage of time spent on each task on the vertical axis.
- b. Create a side-by-side bar chart with store location on the horizontal axis and side-by-side bars of the percentage of time spent on each task.
- c. Which type of bar chart (stacked or side-by-side) do you prefer for these data? Why?
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Chapter 2 Solutions
Essentials Of Statistics For Business & Economics
Ch. 2.1 - The response to a question has three alternatives:...Ch. 2.1 - A partial relative frequency distribution is...Ch. 2.1 - A questionnaire provides 58 Yes, 42 No, and 20...Ch. 2.1 - Most Visited Websites. In a recent report, the top...Ch. 2.1 - Most Popular Last Names. In alphabetical order,...Ch. 2.1 - Top Rated Television Show Networks. Nielsen Media...Ch. 2.1 - Airline Customer Satisfaction Survey. Many...Ch. 2.1 - Data for a sample of 55 members of the Baseball...Ch. 2.1 - Degrees Awarded Annually. Nearly 1.9 million...Ch. 2.1 - Online Hotel Ratings. TripAdvisor is one of many...
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 - A doctor’s office staff studied the waiting times...Ch. 2.2 - NBA Total Player Ratings. CBSSports.com developed...Ch. 2.2 - Busiest North American Airports. Based on the...Ch. 2.2 - CEO Time in Meetings. The London School of...Ch. 2.2 - Largest University Endowments. University...Ch. 2.2 - Top U.S. Franchises. Entrepreneur magazine ranks...Ch. 2.2 - Engineering School Graduate Salaries. The file...Ch. 2.2 - Best Paying College Degrees. Each year America.EDU...Ch. 2.2 - Marathon Runner Ages. The Flying Pig is a marathon...Ch. 2.3 - The following data are for 30 observations...Ch. 2.3 - The following observations are for two...Ch. 2.3 - Daytona 500 Automobile Makes Average Speeds. The...Ch. 2.3 - Daytona 500 Average Speeds of Winners. The...Ch. 2.3 - Recently, management at Oak Tree Golf Course...Ch. 2.3 - Household Income Levels. The following...Ch. 2.3 - Values of World’s Most Valuable Brands. Each year...Ch. 2.3 - Revenue of World’s Most Valuable Brands. Refer to...Ch. 2.3 - Car Fuel Efficiencies. The U.S. Department of...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 - Driving Speed and Fuel Efficiency. A study on...Ch. 2.4 - Low Temperatures and Snowfall. The file Snow...Ch. 2.4 - Hypertension and Heart Disease. People often wait...Ch. 2.4 - Smartphone Ownership. Consider the following...Ch. 2.4 - Store Managers Time Study. The Northwest regional...Ch. 2 - SAT Scores. The SAT is a standardized test used by...Ch. 2 - Median Household Incomes. The file MedianHousehold...Ch. 2 - State Populations. Data showing the population by...Ch. 2 - Startup Company Funds. According to the Wall...Ch. 2 - Complaints Reported to BBB. Consumer complaints...Ch. 2 - Stock Price Volatility. The term beta refers to a...Ch. 2 - Education Level and Household Income. The U.S....Ch. 2 - Western University has only one womens softball...Ch. 2 - Best Places to Work. Fortune magazine publishes an...Ch. 2 - Prob. 53SECh. 2 - Colleges’ Year Founded and Percent Graduated....Ch. 2 - Colleges’ Year Founded and Cost. Refer to the data...Ch. 2 - Colleges’ Cost and Percent Graduated. Refer to the...Ch. 2 - Electric Vehicle Sales. Electric plug-in vehicle...Ch. 2 - Zoo Member Types and Attendance. A zoo has...Ch. 2 - Pelican Stores, a division of National Clothing,...Ch. 2 - The movie industry is a competitive business. More...Ch. 2 - Cincinnati, Ohio, also known as the Queen City,...Ch. 2 - Jon Weideman, first shift foreman for Cut-Rate...
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- 18 Using the results from the rainfall versus corn production data in Question 14, answer DOV 15 the following: a. Find and interpret the slope in the con- text of this problem. 79 b. Find the Y-intercept in the context of this problem. alb to sig c. Can the Y-intercept be interpreted here? (.ob or grinisiques xs as 101 gniwollol edt 958 orb sz) asiques sich ed: flow wo PEMAIarrow_forwardVariable Total score (Y) Putts hit (X) Mean. 93.900 35.780 Standard Deviation 7.717 4.554 Correlation 0.896arrow_forward17 Referring to the figures and tables from the golf data in Questions 3 and 13, what hap- pens as you keep increasing X? Does Y increase forever? Explain. comis word ே om zol 6 svari woy wol visy alto su and vibed si s'ablow it bas akiog vino b tad) beil Bopara Aon csu How wod griz -do 30 義arrow_forward
- Variable Temperature (X) Coffees sold (Y) Mean 35.08 29,913 Standard Deviation 16.29 12,174 Correlation -0.741arrow_forward13 A golf analyst measures the total score and number of putts hit for 100 rounds of golf an amateur plays; you can see the summary of statistics in the following table. (See the figure in Question 3 for a scatterplot of this data.)noitoloqpics bella a. Is it reasonable to use a line to fit this data? Explain. 101 250 b. Find the equation of the best fitting 15er regression line. ad aufstuess som 'moob Y lo esulav in X ni ognado a tad Variable on Mean Standard Correlation 92 Deviation Total score (Y) 93.900 7.717 0.896 Putts hit (X) 35.780 4.554 totenololbenq axlam riso voy X to asulisy datdw gribol anil er 08,080.0 zl noitsism.A How atharrow_forwardVariable Bone loss (Y) Age (X) Mean 35.008. 67.992 Standard Deviation 7.684 10.673 Correlation 0.574arrow_forward
- 50 Bone Loss 30 40 20 Scatterplot of Bone Loss vs. Age . [902) 10 50 60 70 80 90 Age a sub adi u xinq (20) E 4 adw I- nyd med ivia .0 What does a scatterplot that shows no linear relationship between X and Y look like?arrow_forwardVariable Temperature (X) Coffees sold (Y) Mean 35.08 29,913 Standard Deviation 16.29 12,174 Correlation -0.741arrow_forward2 Find and interpret the value of r² for the rainfall versus corn data, using the table from Question 14.2291992 b sgen gnome vixists 992 ms up? 2910 1999 bio .blos estos $22 tolqis2 qs rieds ni zoti swoH iisqa vilsen od 1'meo DOV to mogers boangas mus jil Reustar enou Leption20th ) abnuin Hagodt graub 032 Carrow_forward
- 18 Using the results from the rainfall versus corn production data in Question 14, answer oy the following: DOY 98 103 LA Find and interpret the slope in the con- text of this problem. b. Find the Y-intercept in the context of this problem. roy gatiigisve Toy c. Can the Y-intercept be interpreted here? (.ob o grinisq blo eiqmaxs as 101 galwollol edt 998 ds most notamotni er griau sib 952) siqmaxs steb godt llaw worl pun MAarrow_forwardVariable mean standard variation correlation temperature(X) 35.08 16.29. -0,741 coffees sold(Y). 29,913. 12.174.arrow_forward12 ம் Y si to no 1672 1 A medical researcher measures bone density and the age of 125 women; you can see the o lesummary of statistics in the following table. (See the figure in Question 2 for a scatterplot of this data.) a. How well will a line fit this data? b. Find the equation of the best fitting regression line. Variable Mean Standard Correlation Deviation Bone loss (Y) 35.008 7.684 0.574 A Age (X) 19 67.992 10.673 T in send art lo (d) sqala sala bolt 3 esmit sqola ad garrow_forward
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