Chapter 3: Displaying and Describing Quantitative Data – Quiz A
Name_________________________
3.1.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
1. Following is a histogram of salaries (in $) for a sample of U.S. marketing managers.
Comment on the shape of the distribution.
1200001000008000060000
12
10
8
6
4
2
0
Mktg Manager Salaries
Fr e que nc y
Histogram of Mktg Manager Salaries
3.7.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
2. Following is the five-number summary of salaries (in $) for a sample of U.S.
marketing managers displayed in question 1.
Min Q1 Median Q3 Max
46360 69693 77020 91750 129420
a. Would you expect the mean salary for this sample of marketing managers to be higher
or lower than the median? Explain.
b. Which would be a more appropriate measure of central tendency for these data, the
mean or median? Explain.
c. Calculate the range.
d. Calculate the IQR.
3-2 Chapter 3 Displaying and Describing Quantitative Data
3.1.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
3. Suppose the marketing manager who was earning $129,420 got a raise and is now
earning $140,000. Indicate how this change would affect the following summary
statistics (increase, decrease, or stay about the same):
a. Mean
b. Median
c. Range
d. IQR
e. Standard deviation
3.1.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
4. The following table shows data on total assets ($ billion) for a small sample of U.S.
banks. Prepare a stem and leaf display. Comment on the shape of the distribution.
BANK ASSETS ($ billion)
State Street Bank and Trust 160.5
Discover Bank 63.9
BancWest 72.8
Citizens Bank 130.0
Northern Trust 83.8
Huntington Bank 53.8
Key Bank 91.8
People’s United 27.9
3.6.2 Standardize values and use them for comparisons of otherwise disparate variables.
5. For the data on total assets ($ billion) for a small sample of U.S. banks provided in the
previous question:
a. Calculate the mean.
b. Calculate the standard deviation.
c. Standardize the asset value of State Street Bank and Trust (find the z score). Interpret
its meaning.
Quiz A 3-3
3.7.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
6. The following boxplots show monthly sales revenue figures ($ thousands) for a
discount office supply company with locations in three different regions of the U.S.
(Northeast, Southeast, and West).
WestSoutheastNortheast
200
175
150
125
100
75
50
Dat a
Boxplot of Northeast, Southeast, West
a. Which region has the highest median sales revenue?
b. Which region has the lowest median sales revenue?
c. Which region has the most variable sales revenue values? Explain.
3-4 Chapter 3 Displaying and Describing Quantitative Data
Chapter 3: Displaying and Describing Quantitative Data – Quiz A – Key
Quiz A 3-5
3-6 Chapter 3 Displaying and Describing Quantitative Data
Quiz A 3-7
3-8 Chapter 3 Displaying and Describing Quantitative Data
Chapter 3: Displaying and Describing Quantitative Data – Quiz B
Name_________________________
3.2.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
1. Data were collected on the hourly wage ($) for two types of marketing managers: (1)
advertising / promotion managers and (2) sales managers. The results were used to create
the following histograms.
6050403020
16
14
12
10
8
6
4
2
0
6050403020
Advertising/Promotion Hourly
Frequency
Sales Hourly
Histogram of Advertising/Promotion Hourly, Sales Hourly
a. Describe the hourly wage distribution for advertising/promotion managers.
b. Describe the hourly wage distribution for sales managers.
c. Compare the hourly wages for the two types of marketing managers based on the
histograms.
Quiz B 3-9
.
3.7.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
2. Following is the five number summary of the hourly wages ($) for advertising /
promotion managers displayed in question 1.
Min Q1 Median Q3 Max
19.64 29.36 34.18 40.86 57.26
a. Would you expect the mean salary for this sample of marketing managers to be higher
or lower than the median? Explain.
b. Which would be a more appropriate measure of central tendency for these data, the
mean or median? Explain.
c. Calculate the range.
d. Calculate the IQR.
3. Following is the five number summary of the hourly wages ($) for sales managers
displayed in question 1.
Min Q1 Median Q3 Max
20.94 37.64 44.77 49.34 67.11
Suppose there had been an error and that the lowest hourly wage for sales managers was
$18.50 instead of $20.94. Indicate how this change would affect the following summary
statistics (increase, decrease, or stay about the same):
a. Mean
b. Median
c. Range
d. IQR
e. Standard deviation
3-10 Chapter 3 Displaying and Describing Quantitative Data
3.2.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
4. The following table shows representative recent closing share prices in late 2013 for a
small sample of companies based in India.
COMPANY CLOSING SHARE PRICE
20 Microns 30.95
ABC Paper 24.30
Bank of MA 36.20
Photoquip 37.00
Saksoft 67.20
Marg LTD 13.99
Galaxy ENT 10.40
Sonatasoft 68.75
EDynamics 49.95
DB Corp. 287.95
a. Calculate the mean.
b. Calculate the standard deviation.
c. Standardize the share price for DP Corp. (find the z score). Interpret its meaning.
Quiz B 3-11
3.7.3 Make and interpret time plots for time series data.
5. The following boxplots show the closing share prices for a sample of oil companies’
percentage change from today and 3 months ago or 1 year ago.
a. For which timeframe was the median closing share percentage higher?
b. For which timeframe were the closing share prices more variable? Explain.
c. Which distribution is more symmetric? Explain.
3-12 Chapter 3 Displaying and Describing Quantitative Data
3.2.1 Make and interpret time plots for time series data.
6. Following is a time series graph for monthly closing price for the Dow Jones
Industrial Average (beginning March 2003).
a. Are the closing prices for the Dow Jones Average from October 2004 through
December 2006 fairly stationary? Explain.
b. What was the most volatile period of time for the Dow Jones average? Explain.
c. Would a histogram provide a good summary of these stock prices? Explain.
Quiz B 3-13
Chapter 3: Displaying and Describing Quantitative Data – Quiz B – Key
3-14 Chapter 3 Displaying and Describing Quantitative Data
Quiz B 3-15
3-16 Chapter 3 Displaying and Describing Quantitative Data
Quiz B 3-17
3-18 Chapter 3 Displaying and Describing Quantitative Data
Chapter 3: Displaying and Describing Quantitative Data – Quiz C – Multiple Choice
Name_________________________
3.7.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
1. Below is a histogram of salaries (in $) for a sample of U.S. marketing managers.
1200001000008000060000
12
10
8
6
4
2
0
Mktg Manager Salaries
Fr e qu e nc y
Histogram of Mktg Manager Salaries
The shape of this distribution is
A. symmetric.
B. bimodal.
C. right skewed.
D. left skewed.
E. normal.
3.7.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
2. Here is the five number summary for salaries of U.S. marketing managers.
Min Q1 Median Q3 Max
46360 69693 77020 91750 129420
The IQR is
A. $83,060.
B. $22.057.
C. $69,693.
D. $77.020.
E. $14,566.
Quiz C 3-19
3.3.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
3. Below is a histogram of salaries (in $) for a sample of U.S. marketing managers.
1200001000008000060000
12
10
8
6
4
2
0
Mktg Manager Salaries
Fr e qu e nc y
Histogram of Mktg Manager Salaries
The most appropriate measure of central tendency for these data is the
A. median.
B. mean.
C. mode.
D. range.
E. standard deviation.
3.7.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
4. Consider the five number summary for salaries of U.S. marketing managers.
Min Q1 Median Q3 Max
46360 69693 77020 91750 129420
Suppose the marketing manager who was earning $129,420 got a raise and is now
earning $140,000. Which of the following statement is true?
A. The mean would increase.
B. The median would increase.
C. The range would increase.
D. Both A and C.
E. All of the above.
3-20 Chapter 3 Displaying and Describing Quantitative Data
3.3.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
5. The following table shows data for total assets ($ billion) for a small sample of U.S.
banks (late 2013).
The mean for the total assets data ($ billion) is
A. $78.3.
B. $56.3.
C. $85.6.
D. $120.5.
E. $42.4.
3.4.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
6. The following table shows representative recent closing share prices for a small
sample of companies based in India in late 2013.
COMPANY CLOSING SHARE PRICE
20 Microns 30.95
ABC Paper 24.30
Bank of MA 36.20
Photoquip 37.00
Saksoft 67.20
Marg LTD 13.99
Galaxy ENT 10.40
Sonatasoft 68.75
EDynamics 49.95
DB Corp. 287.95
The standard deviation in closing share prices is
A. $81.6.
B. $25.8.
C. $36.6.
D. $62.7.
E. $67.6.
BANK ASSETS ($ billion)
State Street Bank and Trust 160.5
Discover Bank 63.9
BancWest 72.8
Citizens Bank 130.0
Northern Trust 83.8
Huntington Bank 53.8
Key Bank 91.8
People’s United 27.9
Quiz C 3-21
3.6.2 Standardize values and use them for comparisons of otherwise disparate variables.
7. The following table shows representative recent closing share prices in late 2013 for a
small sample of companies based in India.
The z score for the share price for ABC Paper is
A. 2.76.
B. 0.47.
C. -2.76.
D. -1.49.
E. -0.47.
COMPANY CLOSING SHARE PRICE
20 Microns 30.95
ABC Paper 24.30
Bank of MA 36.20
Photoquip 37.00
Saksoft 67.20
Marg LTD 13.99
Galaxy ENT 10.40
Sonatasoft 68.75
EDynamics 49.95
DB Corp. 287.95
3-22 Chapter 3 Displaying and Describing Quantitative Data
3.7. Interpret boxplot displays of distributions.
8. The following boxplots show monthly sales revenue figures ($ thousands) for a
discount office supply company with locations in three different regions of the U.S.
(Northeast, Southeast, and West). Which of the following statements is true?
A. The Northeast has the lowest mean sales revenue.
B. The Southeast has the lowest median sales revenue.
C. The West has the lowest mean sales revenue.
D. The West has the lowest median sales revenue.
E. None of the above.
WestSoutheastNortheast
200
175
150
125
100
75
50
Data
Boxplot of Northeast, Southeast, West
Quiz C 3-23
3.7.3 Make and interpret time plots for time series data.
9. The following boxplots show monthly sales revenue figures ($ thousands) for a
discount office supply company with locations in three different regions of the U.S.
(Northeast, Southeast, and West). Which of the following statements is false?
WestSoutheastNortheast
200
175
150
125
100
75
50
Data
Boxplot of Northeast, Southeast, West
A. The West has the most variable sales revenues.
B. The West has the largest IQR.
C. The Southeast has the smallest IQR.
D. The Northeast has the most variable sales revenues.
E. The Southeast has the least variable sales revenues.
3-24 Chapter 3 Displaying and Describing Quantitative Data
3.2.1 Make and interpret time plots for time series data.
10. Following is a time series graph for monthly closing price for the Dow Jones
Industrial Average (beginning March 2003). Which of the following statements is true?
A. A histogram would provide a good representation of these data.
B. The data show an upward trend since late 2008.
C. The data show a 50% drop in the Dow Jones Average by the end of 2008.
D. Both A and C.
E. Both B and C.
Quiz C 3-25
Chapter 3: Displaying and Describing Quantitative Data – Quiz C – Key
3-26 Chapter 3 Displaying and Describing Quantitative Data
Chapter 3: Displaying and Describing Quantitative Data – Quiz D – Multiple Choice
Name_________________________
3.3.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
1. The following table shows total assets ($ billion) for a small sample of U.S. banks.
BANK ASSETS ($ billion)
Bank of New York 88
Regions Financial 80
Fifth Third Bank 58
State Street Bank and Trust 92
Branch Banking and Trust Company 81
Chase Bank 70
Key Bank 89
PNC Bank 84
The mean for these data is
A. $ 80.25 billion.
B. $ 100.35 billion.
C. $ 75.68 billion.
D. $ 84 billion.
E. $ 89 billion.
3.4.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
2. The following table shows total assets ($ billion) for a small sample of U.S. banks.
BANK ASSETS ($ billion)
Bank of New York 88
Regions Financial 80
Fifth Third Bank 58
State Street Bank and Trust 92
Branch Banking and Trust Company 81
Chase Bank 70
Key Bank 89
PNC Bank 84
The standard deviation for these data is
A. $12.78 billion.
B. $ 11.27 billion.
C. $ 127.01 billion.
D. $ 21.67 billion.
E. $ 34 billion.
Quiz D 3-27
3.6.2 Standardize values and use them for comparisons of otherwise disparate variables.
3. The following table shows total assets ($ billion) for a small sample of U.S. banks.
BANK ASSETS ($ billion)
Bank of New York 88
Regions Financial 80
Fifth Third Bank 58
State Street Bank and Trust 92
Branch Banking and Trust Company 81
Chase Bank 70
Key Bank 89
PNC Bank 84
The z– score for the total assets of Fifth Third Bank is
A. 1.25.
B. -1.25.
C. -2.5.
D. 1.97.
E. -1.97.
3.6.2 Standardize values and use them for comparisons of otherwise disparate variables.
4. The ASQ (American Society for Quality) regularly conducts a salary survey of its
membership, primarily quality management professionals. Based on the most recently
published mean and standard deviation, a quality control specialist calculated the z-score
associated with his own salary and found it was -2.50. This tells him that his salary is
A. 2 and a half times more than the average salary.
B. 2 and a half times less than the average salary.
C. is 2.5 standard deviations above the average salary.
D. is 2.5 standard deviations below the average salary.
E. much higher than the average salary.
3-28 Chapter 3 Displaying and Describing Quantitative Data
3.7.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
5. Consider the five number summary of hourly wages ($) for a sample of sales
managers.
Min Q1 Median Q3 Max
20.94 37.64 44.77 49.34 67.11
The range for these data is
A. $11.70
B. $46.17
C. $67.11
D. $20.94
E. $44.77
3.7.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
6. Consider the five number summary of hourly wages ($) for a sample of sales
managers.
Min Q1 Median Q3 Max
20.94 37.64 44.77 49.34 67.11
The IQR for these data is
A. $11.70
B. $46.17
C. $67.11
D. $20.94
E. $44.77
3.7.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
7. Consider the five number summary of hourly wages ($) for a sample of sales
managers. Suppose the mean hourly wage is $38.50. What can we say about the shape
of the distribution?
Min Q1 Median Q3 Max
20.94 37.64 44.77 49.34 67.11
A. The distribution of hourly wages for sales managers is symmetric.
B. The distribution of hourly wages for sales managers is skewed right.
C. The distribution of hourly wages for sales managers is skewed left.
D. The distribution of hourly wages for sales managers is bimodal.
E. None of the above.
Quiz D 3-29
3.7.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
8. Consider the five number summary of hourly wages ($) for a sample of advertising /
promotion managers.
Min Q1 Median Q3 Max
19.64 29.36 34.18 40.86 57.26
Suppose there had been an error and that the lowest hourly wage was $15.50 instead of
$19.64. This would result in
A. an increase in the median.
B. an increase in the standard deviation.
C. a decrease in the range.
D. a decrease in the IQR.
E. an increase in the mean.
3-30 Chapter 3 Displaying and Describing Quantitative Data
3.2.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
9. Data were collected on the hourly wage ($) for two types of marketing managers: (1)
advertising / promotion managers and (2) sales managers. The results were used to create
the following histograms. Which of the following statements is true?
6050403020
16
14
12
10
8
6
4
2
0
6050403020
Advertising/Promotion Hourly
Frequency
Sales Hourly
Histogram of Advertising/Promotion Hourly, Sales Hourly
A. The distribution of hourly wages for sales managers is unimodal and skewed right.
B. The distribution of hourly wages for advertising/promotion managers is unimodal and
skewed left.
C. The distribution of hourly wages for sales managers is unimodal and skewed left.
D. It appears that sales managers earn a lower hourly wage compared to
advertising/promotion managers.
E. Both C and D.
Quiz D 3-31
3.7.1 Find summary statistics; create displays; describe distributions; determine
appropriate measures.
10. The following boxplots show the closing share prices for a sample of technology
companies on the first trading days in August 2007 and in August 2002. Which of the
following statement is true?
Aug. 2002Aug. 2007
100
80
60
40
20
0
Data
Boxplot of Aug. 2007, Aug. 2002
A. The median closing share price is higher in August 2007 compared to August 2002.
B. Closing prices are more variable in August 2007 compared to August 2002.
C. The distribution of closing prices in August 2007 appears more symmetric than the
distribution of closing prices in August 2002.
D. Both A and B.
E. All of the above.
3-32 Chapter 3 Displaying and Describing Quantitative Data
Chapter 3: Displaying and Describing Quantitative Data – Quiz D – Key