Statistical Presentation of Data

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Module2MasteryExercise.docx

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1. Data collected by the Oil Price Information Service from more than 90,000 gasoline and convenience stores throughout the U.S. showed that the average price for a gallon of unleaded gasoline was $3.28 (MSN Auto website, February 2, 2014). The following data show the price per gallon ($) for a sample of 20 gasoline and convenience stores located in San Francisco.

http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/webfiles/webfile.png
 
http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/ch03/3-26.png

a.  Use the sample data to estimate the mean price for a gallon of unleaded gasoline in San Francisco (to 2 decimals).

b.  Compute the sample standard deviation (to 4 decimals).

c.  Compare the mean price per gallon for the sample data to the national average price. What conclusions can you draw about the cost living in San Francisco?

The input in the box below will not be graded, but may be reviewed and considered by your instructor.

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2. The results of a national survey showed that on average, adults sleep 6.9 hours per night. Suppose that the standard deviation is 1.4 hours.  Round your answers to the nearest whole number. 

a. Use Chebyshev's theorem to calculate the percentage of individuals who sleep between 4.1 and 9.7 hours. At least  %

b. Use Chebyshev's theorem to calculate the percentage of individuals who sleep between 3.9 and 9.9 hours. At least  %

c. Assume that the number of hours of sleep follows a bell-shaped distribution. Use the empirical rule to calculate the percentage of individuals who sleep between 4.1 and 9.7 hours per day.  % How does this result compare to the value that you obtained using Chebyshev's theorem in part (a)?

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3. At the beginning of 2009, the economic downturn resulted in the loss of jobs and an increase in delinquent loans for housing. The national unemployment rate was 6.5% and the percentage of delinquent loans was 6.12% (The Wall Street Journal, January 27, 2009). In projecting where the real estate market was headed in the coming year, economists studied the relationship between the jobless rate and the percentage of delinquent loans. The expectation was that if the jobless rate continued to increase, there would also be an increase in the percentage of delinquent loans. The data below show the jobless rate and the delinquent loan percentage for 27 major real estate markets. Click on the webfile logo to reference the data.

http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/webfiles/webfile.png

http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/ch03/aseb06h_ch03_ex59.gif

a.  Compute the correlation coefficient. (to 4 decimals)

Is there a positive correlation between the jobless rate and the percentage of delinquent housing loans?

What is your interpretation?

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b.  Which of the following scatter diagrams represents the relationship between jobless rate and the percentage of delinquent housing loans.

http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/ch03/3.59.b.gif

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4. The data contained in the WEBfile named FoodIndustry shows the company/chain name, the average sales per store ($1000s), and the food segment industry for 47 restaurant chains (Quick Service Restaurant Magazine website, August 2013). Click on the webfile logo to reference the data.

http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/webfiles/webfile.png

a.  What was the mean U.S. sales per store for the 47 restaurant chains? Round your answer to one decimal place.

b.  What are the first and third quartiles?

First quartile

Third quartile

What is your interpretation of the quartiles?

25% of the restaurants have an average sales per unit  to  and 25% of the restaurant chains have an average sales per store  to  .

c.  Show a box plot for the level of sales and discuss if there are any outliers in terms of sales that would skew the results.

1.

http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/ch03/3.69a.png

2.

http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/ch03/3.69b.png

3.

http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/ch03/3.69c.png

4.

http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/ch03/3.69d.png

Select the correct box plot:

There is(are)  .

d.  Develop a frequency distribution showing the average sales per store for each segment.

Row Labels

Average Sales per Store ($1000s)

Burger

Chicken

Mexican

Pizza/Pasta

Sandwich

Snacks

Grand Total

Comment on the results obtained.

The frequency distribution shows that the lowest average sales per store is for the  segment.

5. Endowment income is a critical part of the annual budgets at colleges and universities. A study by the National Association of College and University Business Officers reported that the 435 colleges and universities surveyed held a total of $413 billion in endowments. The 10 wealthiest universities are shown below (The Wall Street Journal, January 27, 2009). Amounts are in billion of dollars. Excel File: data03-09.xls 

http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/ch03/aseb06h_ch03_ex09.gif

a.  What is the mean endowment for these universities (to 1 decimal)?

b.  What is the median endowment (to 1 decimal)?

c.  What is the mode endowment (to 1 decimal)?

d.  Compute the first and third quartiles.

First Quartile (to 1 decimal)

Third Quartile (to 3 decimals)

e.  What is the total endowment at these 10 universities? $ billion

These universities represent 2.3% of the 435 colleges and universities surveyed. What percentage of the total $413 billion in endowments is held by these 10 universities (to 1 decimal)?  %

f.   The Wall Street Journal reported that over a recent five-month period, a downturn in the economy has caused endowments to decline 23%. What is the estimate of the dollar amount of the decline in the total endowments held by these 10 universities (to nearest billion)? $ billion

Given this situation, what are some of the steps you would expect university administrators to be considering?

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6. Consider a sample with a mean of 60 and a standard deviation of 4. Use Chebyshev's theorem to determine the percentage of the data within each of the following ranges (to the nearest whole number).

a. 40 to 80, at least  %

b. 45 to 75, at least  %

c. 52 to 68, at least  %

d. 48 to 72, at least  %

e. 44 to 76, at least  %

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{Exercise 3.23 (Algorithmic)}

7. Scores turned in by an amateur golfer at the Bonita Fairways Golf Course in Bonita Springs, Florida, during 2005 and 2006 are as follows:

2005 Season

 

75

79

80

78

76

74

76

78

2006 Season

 

72

71

76

78

86

81

72

80

a. Calculate the mean (0 decimals) and the standard deviation (to 2 decimals) of the golfer's scores, for both years.

2005

Mean

Standard deviation

2006

Mean

Standard deviation

b.

c. What is the primary difference in performance between 2005 and 2006?   What improvement, if any, can be seen in the 2006 scores?

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8. Five observations taken for two variables follow.

xi

3

5

12

4

15

yi

50

40

40

50

30

a. Which of the following scatter diagrams accurately represents the data set? 1. 

http://mindtap.cengagenow.com/ilrn/bca/user/appletImage?dbid=1475609252
  2. 
http://mindtap.cengagenow.com/ilrn/bca/user/appletImage?dbid=94189265
  3. 
http://mindtap.cengagenow.com/ilrn/bca/user/appletImage?dbid=752246960
   

b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?  

c. Compute the sample covariance.  

d. Compute the sample correlation coefficient (to 3 decimals).   What can you conclude, based on your computation of the sample correlation coefficient?

9. The average number of minutes Americans commute to work is 27.7 minutes (Sterling's Best Places, April 13, 2012). The average commute time in minutes for 48 cities are as follows:

Click on the webfile logo to reference the data.

http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/webfiles/webfile.png
 
http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/ch03/aseb06h_ch03_7.gif

a.  What is the mean commute time for these 48 cities (to 2 decimals)?  minutes

b.  Compute the median commute time (to 2 decimals).  minutes

c.  Compute the mode (to 1 decimal). The data are  . The modes are  and  .

d.  Compute the third quartile (to 2 decimals).

The location for the third quartile is  , so the third quartile is  .

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10. Annual sales, in millions of dollars, for 21 pharmaceutical companies follow.

8,744

1,429

1,947

9,234

2,557

11,870

632

14,138

6,710

1,924

2,931

1,410

10,918

7,777

4,180

4,515

769

2,212

3,799

6,026

8,637

a. Provide a five-number summary. If needed, round your answer to a whole number.

Smallest value

First quartile

Median

Third quartile

Largest value

b.

c. Compute the lower and upper limits. Enter negative amounts with a minus sign.

Lower limit

Upper limit

d.

e. Do the data contain any outliers?  

f. Johnson & Johnson's sales are the largest on the list at $14,138 million. Suppose a data entry error (a transposition) had been made and the sales had been entered as $41,138 million. Would the method of detecting outliers in part (c) identify this problem and allow for correction of the data entry error?  

g. Which of the following box plots accurately displays the data set?

http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/ch03/3.41.a.jpg

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11. Annual sales, in millions of dollars, for 21 pharmaceutical companies follow.

8,828

1,443

1,967

9,323

2,582

11,984

639

14,138

6,775

1,943

2,959

1,424

11,023

7,852

4,221

4,558

776

2,233

3,836

6,084

8,721

a. Provide a five-number summary.

Smallest value

First quartile

Median

Third quartile

Largest value

b.

c. Compute the lower and upper limits.

Lower limit

Upper limit

d.

e. Do the data contain any outliers?  

f. Johnson & Johnson's sales are the largest on the list at $14,138 million. Suppose a data entry error (a transposition) had been made and the sales had been entered as $41,138 million. Would the method of detecting outliers in part (c) identify this problem and allow for correction of the data entry error?  

g. Which of the following box plots accurately displays the data set?

http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/ch03/aseb06h_ch03_51a.jpg

12. A data set has a first quartile of 42 and a third quartile of 50. Compute the lower and upper limits for the corresponding box plot.

Lower limit

Upper limit

Should a data value of 65 be considered an outlier?

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13. Morningstar tracks the total return for a large number of mutual funds. The following table shows the total return and the number of funds for four categories of mutual funds. Excel File:  data03-17.xls  

http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/ch03/aseb06h_ch03_ex17.gif

a.  Using the number of funds as weights, compute the weighted average total return for these mutual funds. (to 2 decimals)  %

b.  Is there any difficulty associated with using the “number of funds” as the weights in computing the weighted average total return in part (a)? Discuss. What else might be used for weights?

The input in the box below will not be graded, but may be reviewed and considered by your instructor.

c.  Suppose you invested $10,000 in this group of mutual funds and diversified the investment by placing $2000 in Domestic Equity funds, $4000 in International Equity funds, $3000 in Specialty Stock funds, and $1000 in Hybrid funds. What is the expected return on the portfolio? (to 2 decimals)  %

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14. The Wall Street Journal reported that Walmart Stores Inc. is planning to lay off 2,300 employees at its Sam's Club warehouse unit. Approximately half of the layoffs will be hourly employees (The Wall Street Journal, January 25-26, 2014). Suppose the following data represent the percentage of hourly employees laid off for 15 Sam's Club stores.

55

56

44

43

44

56

60

62

57

45

36

38

50

69

65

a.  Compute the mean and median percentage of hourly employees being laid off at these stores.

Mean

Median

b.  Compute the first and third quartiles.

First quartile

Third quartile

c.  Compute the range and interquartile range.

Range

Interquartile range

d.  Compute the variance and standard deviation. Round your answers to four decimal places.

Variance

Standard deviation

e.  Do the data contain any outliers?

f.  Based on the sample data, does it appear that Walmart is meeting its goal for reducing the number of hourly employees?

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15. U.S. companies lose $63.2 billion per year from workers with insomnia. Workers lose an average of 7.8 days of productivity per year due to lack of sleep (Wall Street Journal, January 23, 2013). The following data show the number of hours of sleep attained during a recent night for a sample of 20 workers. Click on the webfile logo to reference the data.

http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/webfiles/webfile.png

http://cnow.apps.ng.cengage.com/ilrn/books/aseb06h/images/ch03/aseb06h_ch03_ex65.png

a.  What is the mean number of hours of sleep for this sample (to 1 decimal)? 

b.  What is the variance? Standard deviation (to 2 decimals)?

Variance

Standard deviation

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