TEST BANK & RESOURCE GUIDE FOR
BUSINESS STATISTICS
DIRK TEMPELAAR
BUSINESS STATISTICS
4TH EDITION
NOREAN R. SHARPE
RICHARD D. DE VEAUX
PAUL F. VELLEMAN
, TABLE OF CONTENTS
PART I: EXPLORING AND COLLECTING DATA
1. Data and Decisions (H&M)
2. Visualizing and Describing Categorical Data (Dalia Research)
3. Describing, Displaying, and Visualizing Quantitative Data (AIG)
4. Correlation and Linear Regression (Zillow.com)
PART II: MODELING AND PROBABILITY
5. Randomness and Probability (Credit Reports, the Fair Isaacs Corporation,
and Equifax)
6. Random Variables and Probability Models (Metropolitan Life Insurance
Company)
7. The Normal and Other Continuous Distributions (The NYSE)
PART III: GATHERING DATA
8. Data Sources: Observational Studies and Surveys (Roper Polls)
9. Data Sources: Experiments (Capital One)
PART IV: INFERENCE FOR DECISION MAKING
10. Sampling Distributions and Confidence Intervals for Proportions (Marketing
Credit Cards: The MBNA Story)
11. Confidence Intervals for Means (Guinness & Co.)
12. Testing Hypotheses (Casting Ingots)
13. More About Tests and Intervals (Traveler’s Insurance)
14. Comparing Two Means (Visa Global Organization)
15. Inference for Counts: Chi-Square Tests (SAC Capital)
PART V: MODELS FOR DECISION MAKING
16. Inference for Regression (Nambé Mills)
17. Understanding Residuals (Kellogg’s)
18. Multiple Regression (Zillow.com)
19. Building Multiple Regression Models (Bolliger and Mabillard)
20. Time Series Analysis (Whole Foods Market®)
PART VI: ANALYTICS
21. Introduction to Big Data and Data Mining (Paralyzed Veterans of America)
PART VII: ONLINE TOPICS
22. Quality Control (Sony)
23. Nonparametric Methods (i4cp)
24. Decision Making and Risk (Data Description, Inc.)
25. Analysis of Experiments and Observational Studies
,CHAPTER 1: DATA AND DECISIONS – QUIZ A
1.4 Data Sources: Where, How, and When
1. Viamedia, the cable industry's leading independent cable rep firm and provider of
online advertising services, sponsored an online survey in June, 2013 to understand
television viewing habits. The survey was given to 2,029 American adults age 18 and
older, of whom 1,958 watch television programming. Of interest was how Americans
watched television –72% watch cable TV while 33% watch on a device (tablet,
smartphone, computer). Describe the W’s for the information given.
• Who:
• What:
• When:
• Where:
• How:
• Why:
1.3 Variable Types.
2. The following tables display some of the demographic data collected in a recent
(2012) Nielsen Global Survey analyzing Asian American purchasing behaviors and
television viewing patterns. List the variables in the data set. Indicate whether each
variable is categorical or quantitative. If the variable is quantitative, give the units.
Income % Total % Asian- Age % Total % Asian-
Ranges U.S. American Distribution U.S. American
Households Households Households Households
< $25,000 24% 20% 0–9 13% 12%
$25,000–
11% 8% 10–17 11% 10%
$34,999
$35,000–
16% 13% 18–24 10% 10%
$49,999
$50,000–
20% 18% 25–34 13% 16%
$74,999
$75,000–
12% 14% 45–54 14% 14%
$99,999
$100,000+ 18% 29% 55–74 20% 14%
75+ 6% 04%
Composition of % Composition
Asian-Americans
Asian-Indian 19%
Vietnamese 11%
Chinese 23%
Korean 10%
Filipino 17%
Japanese 5%
Other Asian 15%
, 1.3 Variable Types.
3. In addition to the variables listed above, data were also collected on the variables
listed below. Indicate whether each is nominal or ordinal.
• Region of U.S. (NE, NW, MW, SW, SE)
• Education (Less than High School, High School, Some College, College +)
• Marital Status (Single, Widowed, Divorced, Married)
1.3 Variable Types.
4. For each of the following, indicate whether the data are cross-sectional or time series:
• Monthly spending on household goods
• Change in population for 5 consecutive years
• Percentage of adults who bank online
• Composition of types of Asian American families in the most populated U.S.
cities.
• Monthly demand for a technology item
• Percentage of adults who purchase goods online
CHAPTER 1: DATA AND DECISIONS – QUIZ A – KEY
1. Viamedia, the cable industry's leading independent cable rep firm and provider of
online advertising services, sponsored an online survey in June, 2013 to understand
television viewing habits. The survey was given to 2,029 American adults age 18 and
older, of whom 1,958 watch television programming. Of interest was how Americans
watched television –72% watch cable TV while 33% watch on a device (tablet,
smartphone, computer). Describe the W’s for the information given.
• Who:
American adults aged 18 and older
• What:
Television viewing
• When:
June 2013
• Where:
United States
• How:
Online survey
• Why:
BUSINESS STATISTICS
DIRK TEMPELAAR
BUSINESS STATISTICS
4TH EDITION
NOREAN R. SHARPE
RICHARD D. DE VEAUX
PAUL F. VELLEMAN
, TABLE OF CONTENTS
PART I: EXPLORING AND COLLECTING DATA
1. Data and Decisions (H&M)
2. Visualizing and Describing Categorical Data (Dalia Research)
3. Describing, Displaying, and Visualizing Quantitative Data (AIG)
4. Correlation and Linear Regression (Zillow.com)
PART II: MODELING AND PROBABILITY
5. Randomness and Probability (Credit Reports, the Fair Isaacs Corporation,
and Equifax)
6. Random Variables and Probability Models (Metropolitan Life Insurance
Company)
7. The Normal and Other Continuous Distributions (The NYSE)
PART III: GATHERING DATA
8. Data Sources: Observational Studies and Surveys (Roper Polls)
9. Data Sources: Experiments (Capital One)
PART IV: INFERENCE FOR DECISION MAKING
10. Sampling Distributions and Confidence Intervals for Proportions (Marketing
Credit Cards: The MBNA Story)
11. Confidence Intervals for Means (Guinness & Co.)
12. Testing Hypotheses (Casting Ingots)
13. More About Tests and Intervals (Traveler’s Insurance)
14. Comparing Two Means (Visa Global Organization)
15. Inference for Counts: Chi-Square Tests (SAC Capital)
PART V: MODELS FOR DECISION MAKING
16. Inference for Regression (Nambé Mills)
17. Understanding Residuals (Kellogg’s)
18. Multiple Regression (Zillow.com)
19. Building Multiple Regression Models (Bolliger and Mabillard)
20. Time Series Analysis (Whole Foods Market®)
PART VI: ANALYTICS
21. Introduction to Big Data and Data Mining (Paralyzed Veterans of America)
PART VII: ONLINE TOPICS
22. Quality Control (Sony)
23. Nonparametric Methods (i4cp)
24. Decision Making and Risk (Data Description, Inc.)
25. Analysis of Experiments and Observational Studies
,CHAPTER 1: DATA AND DECISIONS – QUIZ A
1.4 Data Sources: Where, How, and When
1. Viamedia, the cable industry's leading independent cable rep firm and provider of
online advertising services, sponsored an online survey in June, 2013 to understand
television viewing habits. The survey was given to 2,029 American adults age 18 and
older, of whom 1,958 watch television programming. Of interest was how Americans
watched television –72% watch cable TV while 33% watch on a device (tablet,
smartphone, computer). Describe the W’s for the information given.
• Who:
• What:
• When:
• Where:
• How:
• Why:
1.3 Variable Types.
2. The following tables display some of the demographic data collected in a recent
(2012) Nielsen Global Survey analyzing Asian American purchasing behaviors and
television viewing patterns. List the variables in the data set. Indicate whether each
variable is categorical or quantitative. If the variable is quantitative, give the units.
Income % Total % Asian- Age % Total % Asian-
Ranges U.S. American Distribution U.S. American
Households Households Households Households
< $25,000 24% 20% 0–9 13% 12%
$25,000–
11% 8% 10–17 11% 10%
$34,999
$35,000–
16% 13% 18–24 10% 10%
$49,999
$50,000–
20% 18% 25–34 13% 16%
$74,999
$75,000–
12% 14% 45–54 14% 14%
$99,999
$100,000+ 18% 29% 55–74 20% 14%
75+ 6% 04%
Composition of % Composition
Asian-Americans
Asian-Indian 19%
Vietnamese 11%
Chinese 23%
Korean 10%
Filipino 17%
Japanese 5%
Other Asian 15%
, 1.3 Variable Types.
3. In addition to the variables listed above, data were also collected on the variables
listed below. Indicate whether each is nominal or ordinal.
• Region of U.S. (NE, NW, MW, SW, SE)
• Education (Less than High School, High School, Some College, College +)
• Marital Status (Single, Widowed, Divorced, Married)
1.3 Variable Types.
4. For each of the following, indicate whether the data are cross-sectional or time series:
• Monthly spending on household goods
• Change in population for 5 consecutive years
• Percentage of adults who bank online
• Composition of types of Asian American families in the most populated U.S.
cities.
• Monthly demand for a technology item
• Percentage of adults who purchase goods online
CHAPTER 1: DATA AND DECISIONS – QUIZ A – KEY
1. Viamedia, the cable industry's leading independent cable rep firm and provider of
online advertising services, sponsored an online survey in June, 2013 to understand
television viewing habits. The survey was given to 2,029 American adults age 18 and
older, of whom 1,958 watch television programming. Of interest was how Americans
watched television –72% watch cable TV while 33% watch on a device (tablet,
smartphone, computer). Describe the W’s for the information given.
• Who:
American adults aged 18 and older
• What:
Television viewing
• When:
June 2013
• Where:
United States
• How:
Online survey
• Why:
