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 3, Problem 64SE
Physician Office Waiting Times. The average waiting time for a patient at an El Paso physician’s office is just over 29 minutes, well above the national average of 21 minutes. In order to address the issue of long patient wait times, some physician’s offices are using wait tracking systems to notify patients of expected wait times. Patients can adjust their arrival times based on this information and spend less time in waiting rooms. The following data show wait times (minutes) for a sample of patients at offices that do not have an office tracking system and wait times for a sample of patients at offices with an office tracking system.
- a. What are the
mean andmedian patient wait times for offices with a wait tracking system? What are the mean and median patient wait times for offices without a wait tracking system? - b. What are the variance and standard deviation of patient wait times for offices with a wait tracking system? What are the variance and standard deviation of patient wait times for visits to offices without a wait tracking system?
- c. Do offices with a wait tracking system have shorter patient wait times than offices without a wait tracking system? Explain.
- d. Considering only offices without a wait tracking system, what is the z-score for the tenth patient in the sample?
- e. Considering only offices with a wait tracking system, what is the z-score for the sixth patient in the sample? How does this z-score compare with the z-score you calculated for part (d)?
- f. Based on z-scores, do the data for offices without a wait tracking system contain any outliers? Based on z-scores, do the data for offices with a wait tracking system contain any outliers?
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Veterinarians suspect that enteroliths, calcifications in the gut of horses, are related to diet-in particular, alfalfa. To investigate
this suspicion, a group of veterinarians collected information on the diet of horses and whether the horses developed enteroliths.
The table displays the findings.
less than 25% alfalfa in diet
25%-50% alfalfa in diet
greater than 50% alfalfa in die
Total
3
Has enteroliths
0.05
Does not have enteroliths
0.40
Total
0.07
0.25
0.08
0.20
0.15
0.80
0.45
0.32
0.23
1
The probability that a randomly selected horse has enteroliths given that it is fed more than 50% alfalfa is:
○ 0.08.
0.23.
○ 0.2.
○ 0.348.
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Many young men in North America and Europe (but not in Asia) tend to think they need more muscle to be attractive. One
study presented 200 young American men with 100 images of men with various levels of muscle. Researchers measure level of
muscle in kilograms per square meter (kg/m²) of fat-free body mass. Typical young men have about 20 kg/m². Each subject
chose two images, one that represented his own level of body muscle and one that he thought represented "what women prefer."
The mean gap between self-image and "what women prefer" was 2.35 kg/m².
Suppose that the "muscle gap" in the population of all young men has a Normal distribution with standard deviation 2.5 kg/m²
Give a 90% confidence interval for the mean amount of muscle
think they should add to be attractive to women
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Is the normal distribution important in statistics analysis? If yes, why? If no, why?
Is the normal distribution always being defined by its mean and standard deviation? Discuss.
Discuss with examples
c) Graphs illustrating the problems and solutions are recommended
Chapter 3 Solutions
Essentials Of Statistics For Business & Economics
Ch. 3.1 - Consider a sample with data values of 10, 20, 12,...Ch. 3.1 - Consider a sample with data values of 10, 20, 21,...Ch. 3.1 - Consider the following data and corresponding...Ch. 3.1 - Consider the following data.
What is the mean...Ch. 3.1 - Consider a sample with data values of 27, 25, 20,...Ch. 3.1 - Consider a sample with data values of 53, 55, 70,...Ch. 3.1 - eICU Waiting Times. There is a severe shortage of...Ch. 3.1 - Middle-Level Manager Salaries. Suppose that an...Ch. 3.1 - Advertising Spending. Which companies spend the...Ch. 3.1 - Advertising Spending. Which companies spend the...
Ch. 3.1 - Time Spent Watching Traditional TV. Nielsen tracks...Ch. 3.1 - Online Multiplayer Game Downloads. The creator of...Ch. 3.1 - Automobile Fuel Efficiencies. In automobile...Ch. 3.1 - Unemployment Rates by State. The U.S. Bureau of...Ch. 3.1 - Motor Oil Prices. Martinez Auto Supplies has...Ch. 3.1 - Calculating Grade Point Averages. The grade point...Ch. 3.1 - The following table shows the total return and the...Ch. 3.1 - Business School Ranking. Based on a survey of...Ch. 3.1 - Revenue Growth Rate. Annual revenue for Corning...Ch. 3.1 - Mutual Fund Comparison. Suppose that at the...Ch. 3.1 - If an asset declines in value from $5000 to $3500...Ch. 3.1 - The current value of a company is 25 million. If...Ch. 3.2 - Consider a sample with data values of 10, 20, 12,...Ch. 3.2 - Consider a sample with data values of 10, 20, 12,...Ch. 3.2 - Consider a sample with data values of 27, 25, 20,...Ch. 3.2 - Price of Unleaded Gasoline. Data collected by the...Ch. 3.2 - Round-Trip Flight Prices. The following table...Ch. 3.2 - Annual Sales Amounts. Varatta Enterprises sells...Ch. 3.2 - Air Quality Index. The Los Angeles Times regularly...Ch. 3.2 - Prob. 30ECh. 3.2 - Cellular Phone Spending. According to the 2016...Ch. 3.2 - Advertising Spend by Companies. Advertising Age...Ch. 3.2 - Amateur Golfer Scores. Scores turned in by an...Ch. 3.2 - Consistency of Running Times. The following times...Ch. 3.3 - Consider a sample with data values of 10, 20, 12,...Ch. 3.3 - Prob. 36ECh. 3.3 - Consider a sample with a mean of 30 and a standard...Ch. 3.3 - Suppose the data have a bell-shaped distribution...Ch. 3.3 - The results of a national survey showed that on...Ch. 3.3 - Price per Gallon of Gasoline. Suppose that the...Ch. 3.3 - GMAT Exam Scores. The Graduate Management...Ch. 3.3 - Many families in California are using backyard...Ch. 3.3 - Best Places to Live. Each year Money magazine...Ch. 3.3 - NCAA Basketball Game Scores. A sample of 10 NCAA...Ch. 3.3 - Prob. 45ECh. 3.4 - Consider a sample with data values of 27, 25, 20,...Ch. 3.4 - Show the boxplot for the data in exercise 46. 46....Ch. 3.4 - Prob. 48ECh. 3.4 - Prob. 49ECh. 3.4 - Naples Half-Marathon Times. Naples, Florida, hosts...Ch. 3.4 - Pharmaceutical Company Sales. Annual sales, in...Ch. 3.4 - Cell Phone Companies Customer Satisfaction....Ch. 3.4 - Most Admired Companies. Fortune magazines list of...Ch. 3.4 - U.S. Border Crossings. The Bureau of...Ch. 3.5 - Five observations taken for two variables follow....Ch. 3.5 - Five observations taken for two variables follow....Ch. 3.5 - Stock Price Comparison. The file StockComparison...Ch. 3.5 - Driving Speed and Fuel Efficiency. A department of...Ch. 3.5 - Smoke Detector Use and Death Rates. Over the past...Ch. 3.5 - Stock Market Indexes Comparison. The Russell 1000...Ch. 3.5 - Best Private Colleges. A random sample of 30...Ch. 3 - Americans Dining Out. Americans tend to dine out...Ch. 3 - NCAA Football Coaches Salaries. A 2017 USA Today...Ch. 3 - Physician Office Waiting Times. The average...Ch. 3 - Worker Productivity and Insomnia. U.S. companies...Ch. 3 - Work Commuting Methods. Public transportation and...Ch. 3 - Household Incomes. The following data represent a...Ch. 3 - Prob. 69SECh. 3 - Best Hotels. Travel + Leisure magazine provides an...Ch. 3 - NFL Teams Worth. In 2014, the 32 teams in the...Ch. 3 - MLB Team Winning Percentages. Does a major league...Ch. 3 - Money Market Funds Days to Maturity. The days to...Ch. 3 - Automobile Speeds. Automobiles traveling on a road...Ch. 3 - Annual Returns for Panama Railroad Company Stock....Ch. 3 - Pelican Stores, a division of National Clothing,...Ch. 3 - Prob. 2CPCh. 3 - The pursuit of a higher education degree in...Ch. 3 - Although millions of elephants once roamed across...
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