TEST BANK
Applied Statistics in Business and Economics, 5th edition
By David Doane, Lori Seward
TU
TO
R
G
U
R
U
, Table of Content
1. Overview of Statistics
2. Data Collection
3. Describing Data Visually
4. Descriptive Statistics
5. Probability
6. Discrete Probability Distributions
7. Continuous Probability Distributions
TU
8. Sampling Distributions and Estimation
9. One-Sample Hypothesis Tests
10. Two-Sample Hypothesis Tests
TO
11. Analysis of Variance
12. Simple Regression
13. Multiple Regression
R
14. Time-Series Analysis
15. Chi-Square Tests
G
16. Nonparametric Tests
17. Quality Management
U
18. Simulation
R
U
, Chapter 01
Overview of Statistics
True / False Questions
1. Statistics is the science of collecting, organizing, analyzing, interpreting, and
TU
presenting data.
True False
2. Inferential statistics refers to generalizing from a sample to a population, estimating
unknown parameters, drawing conclusions, and making decisions.
TO
True False
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
R
statistics.
True False
G
5. Inconsistent treatment of data by a researcher is a symptom of poor survey or
research design.
True False
U
6. Empirical data are collected through observations and/or experiments.
True False
R
7. Business intelligence refers to collecting, storing, accessing, and analyzing data on
the company's operations in order to make better business decisions.
U
True False
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.
True False
13. Statistics is an essential part of critical thinking because it allows us to transform the
TU
empirical evidence from a sample so it will agree with our preferred conclusions.
True False
14. Statistical challenges include imperfect data, practical constraints, and ethical
dilemmas.
True False
TO
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.
R
True False
17. Pitfalls to consider in a statistical test include nonrandom samples, small sample size,
and lack of causal links.
G
True False
18. In business communication, a table of numbers is preferred to a graph because it is
more able to convey meaning.
U
True False
R
19. Statistical data analysis can often distinguish between real vs. perceived ethical
issues.
True False
U
20. Excel has limited use in business because advanced statistical software is widely
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, 5th edition
By David Doane, Lori Seward
TU
TO
R
G
U
R
U
, Table of Content
1. Overview of Statistics
2. Data Collection
3. Describing Data Visually
4. Descriptive Statistics
5. Probability
6. Discrete Probability Distributions
7. Continuous Probability Distributions
TU
8. Sampling Distributions and Estimation
9. One-Sample Hypothesis Tests
10. Two-Sample Hypothesis Tests
TO
11. Analysis of Variance
12. Simple Regression
13. Multiple Regression
R
14. Time-Series Analysis
15. Chi-Square Tests
G
16. Nonparametric Tests
17. Quality Management
U
18. Simulation
R
U
, Chapter 01
Overview of Statistics
True / False Questions
1. Statistics is the science of collecting, organizing, analyzing, interpreting, and
TU
presenting data.
True False
2. Inferential statistics refers to generalizing from a sample to a population, estimating
unknown parameters, drawing conclusions, and making decisions.
TO
True False
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
R
statistics.
True False
G
5. Inconsistent treatment of data by a researcher is a symptom of poor survey or
research design.
True False
U
6. Empirical data are collected through observations and/or experiments.
True False
R
7. Business intelligence refers to collecting, storing, accessing, and analyzing data on
the company's operations in order to make better business decisions.
U
True False
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.
True False
13. Statistics is an essential part of critical thinking because it allows us to transform the
TU
empirical evidence from a sample so it will agree with our preferred conclusions.
True False
14. Statistical challenges include imperfect data, practical constraints, and ethical
dilemmas.
True False
TO
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.
R
True False
17. Pitfalls to consider in a statistical test include nonrandom samples, small sample size,
and lack of causal links.
G
True False
18. In business communication, a table of numbers is preferred to a graph because it is
more able to convey meaning.
U
True False
R
19. Statistical data analysis can often distinguish between real vs. perceived ethical
issues.
True False
U
20. Excel has limited use in business because advanced statistical software is widely
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.
