TEST BANK
Applied Statistics in Business and Economics
David P. Doane and Lori E. Seward
ST
5th Edition
UV
IA
_$
LIB
GE
N?
, TABLE OF CONTENTS
Applied Statistics in Business and Economics (5th Edition)
Authors: David Doane and Lori Seward
ST
Chapter 1 Overview of Statistics
Chapter 2 Data Collection
Chapter 3 Describing Data Visually
UV
Chapter 4 Descriptive Statistics
Chapter 5 Probability
Chapter 6 Discrete Probability Distributions
IA
Chapter 7 Continuous Probability Distributions
Chapter 8 Sampling Distributions and Estimation
_$
Chapter 9 One-Sample Hypothesis Tests
Chapter 10 Two-Sample Hypothesis Tests
LIB
Chapter 11 Analysis of Variance
Chapter 12 Simple Regression
Chapter 13 Multiple Regression
GE
Chapter 14 Time-Series Analysis
Chapter 15 Chi-Square Tests
Chapter 16 Nonparametric Tests
N?
Chapter 17 Quality Management
Chapter 18 Simulation
, Chapter 01
Overview of Statistics
ST
True / False Questions
1. Statistics is the science of collecting, organizing, analyzing, interpreting, and
presenting data.
UV
True False
2. Inferential statistics refers to generalizing from a sample to a population, estimating
unknown parameters, drawing conclusions, and making decisions.
True False
IA
3. Descriptive statistics refers to summarizing data rather than generalizing about the
population.
True False
_$
4. Estimating parameters and testing hypotheses are important aspects of descriptive
statistics.
True False
LIB
5. Inconsistent treatment of data by a researcher is a symptom of poor survey or
research design.
True False
6. Empirical data are collected through observations and/or experiments.
GE
True False
7. Business intelligence refers to collecting, storing, accessing, and analyzing data on
the company's operations in order to make better business decisions.
True False
N?
8. When a statistician omits data contrary to her findings in a study, she is justified as
long as the sample supports her objective.
True False
9. A strong correlation between A and B would imply that B is caused by A.
True False
1-1
Copyright © 2016 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of
McGraw-Hill Education.
, 10. The post hoc fallacy says that when B follows A then B is caused by A.
True False
11. A statistical test may be significant yet have no practical importance.
True False
12. Valid statistical inferences cannot be made when sample sizes are small.
ST
True False
13. Statistics is an essential part of critical thinking because it allows us to transform the
empirical evidence from a sample so it will agree with our preferred conclusions.
UV
True False
14. Statistical challenges include imperfect data, practical constraints, and ethical
dilemmas.
True False
IA
15. A business data analyst needs a PhD in statistics.
True False
16. The science of statistics tells us whether the sample evidence is convincing.
_$
True False
17. Pitfalls to consider in a statistical test include nonrandom samples, small sample size,
and lack of causal links.
LIB
True False
18. In business communication, a table of numbers is preferred to a graph because it is
more able to convey meaning.
True False
GE
19. Statistical data analysis can often distinguish between real vs. perceived ethical
issues.
True False
20. Excel has limited use in business because advanced statistical software is widely
N?
available.
True False
21. Statistics helps surmount language barriers to solve problems in multinational
businesses.
True False
1-2
Copyright © 2016 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of
McGraw-Hill Education.
Applied Statistics in Business and Economics
David P. Doane and Lori E. Seward
ST
5th Edition
UV
IA
_$
LIB
GE
N?
, TABLE OF CONTENTS
Applied Statistics in Business and Economics (5th Edition)
Authors: David Doane and Lori Seward
ST
Chapter 1 Overview of Statistics
Chapter 2 Data Collection
Chapter 3 Describing Data Visually
UV
Chapter 4 Descriptive Statistics
Chapter 5 Probability
Chapter 6 Discrete Probability Distributions
IA
Chapter 7 Continuous Probability Distributions
Chapter 8 Sampling Distributions and Estimation
_$
Chapter 9 One-Sample Hypothesis Tests
Chapter 10 Two-Sample Hypothesis Tests
LIB
Chapter 11 Analysis of Variance
Chapter 12 Simple Regression
Chapter 13 Multiple Regression
GE
Chapter 14 Time-Series Analysis
Chapter 15 Chi-Square Tests
Chapter 16 Nonparametric Tests
N?
Chapter 17 Quality Management
Chapter 18 Simulation
, Chapter 01
Overview of Statistics
ST
True / False Questions
1. Statistics is the science of collecting, organizing, analyzing, interpreting, and
presenting data.
UV
True False
2. Inferential statistics refers to generalizing from a sample to a population, estimating
unknown parameters, drawing conclusions, and making decisions.
True False
IA
3. Descriptive statistics refers to summarizing data rather than generalizing about the
population.
True False
_$
4. Estimating parameters and testing hypotheses are important aspects of descriptive
statistics.
True False
LIB
5. Inconsistent treatment of data by a researcher is a symptom of poor survey or
research design.
True False
6. Empirical data are collected through observations and/or experiments.
GE
True False
7. Business intelligence refers to collecting, storing, accessing, and analyzing data on
the company's operations in order to make better business decisions.
True False
N?
8. When a statistician omits data contrary to her findings in a study, she is justified as
long as the sample supports her objective.
True False
9. A strong correlation between A and B would imply that B is caused by A.
True False
1-1
Copyright © 2016 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of
McGraw-Hill Education.
, 10. The post hoc fallacy says that when B follows A then B is caused by A.
True False
11. A statistical test may be significant yet have no practical importance.
True False
12. Valid statistical inferences cannot be made when sample sizes are small.
ST
True False
13. Statistics is an essential part of critical thinking because it allows us to transform the
empirical evidence from a sample so it will agree with our preferred conclusions.
UV
True False
14. Statistical challenges include imperfect data, practical constraints, and ethical
dilemmas.
True False
IA
15. A business data analyst needs a PhD in statistics.
True False
16. The science of statistics tells us whether the sample evidence is convincing.
_$
True False
17. Pitfalls to consider in a statistical test include nonrandom samples, small sample size,
and lack of causal links.
LIB
True False
18. In business communication, a table of numbers is preferred to a graph because it is
more able to convey meaning.
True False
GE
19. Statistical data analysis can often distinguish between real vs. perceived ethical
issues.
True False
20. Excel has limited use in business because advanced statistical software is widely
N?
available.
True False
21. Statistics helps surmount language barriers to solve problems in multinational
businesses.
True False
1-2
Copyright © 2016 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of
McGraw-Hill Education.
