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Test Bank — Applied Statistics in Business and Economics, 5th Edition — David Doane & Lori Seward — ISBN 9780077837303

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The Test Bank for Applied Statistics in Business and Economics, 5th Edition by David Doane and Lori Seward offers a fully verified suite of assessment items mapped to the official McGraw-Hill edition. This resource includes multiple-choice, true/false, short-answer, and applied problem questions aligned with each chapter’s learning goals and statistical methodology. All chapters include:...Chapter 1: Overview of Statistics, Chapter 2: Data Collection, Chapter 3: Describing Data Visually, Chapter 4: Descriptive Statistics, Chapter 5: Probability, Chapter 6: Discrete Probability Distributions, Chapter 7: Continuous Probability Distributions, Chapter 8: Sampling Distributions and Estimation, Chapter 9: One-Sample Hypothesis Tests, Chapter 10: Two-Sample Hypothesis Tests, Chapter 11: Analysis of Variance, Chapter 12: Simple Regression, Chapter 13: Multiple Regression, Chapter 14: Time-Series Analysis, Chapter 15: Chi-Square Tests, Chapter 16: Nonparametric Tests, Chapter 17: Quality Management, Chapter 18: Simulation

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Applied Statistics in Business and Economics
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Applied Statistics in Business and Economics

Información del documento

Subido en
15 de noviembre de 2025
Número de páginas
1550
Escrito en
2025/2026
Tipo
Examen
Contiene
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Applied Statistics in Business and

Economics – 5th Edition
ST
UV

TEST BANK
IA
_A

David P. Doane
PP

Lori E. Seward
RO

Comprehensive Test Bank for Instructors
VE

and Students
D?

© David P. Doane & Lori E. Seward
??

All rights reserved. Reproduction or distribution without permission is prohibited.




Created by MedConnoisseur ©2025/2026

, TABLE OF CONTENTS
Applied Statistics in Business and Economics – 5th Edition
ST

David P. Doane & Lori E. Seward
UV

1. Overview of Statistics
2. Data Collection
3. Describing Data Visually
4. Descriptive Statistics
IA

5. Probability
6. Discrete Probability Distributions
7. Continuous Probability Distributions
_A

8. Sampling Distributions and Estimation
9. One-Sample Hypothesis Tests
10.Two-Sample Hypothesis Tests
11.Analysis of Variance
PP

12.Simple Regression
13.Multiple Regression
14.Time-Series Analysis
15.Chi-Square Tests
RO

16.Nonparametric Tests
17.Quality Management
18.Simulation
VE
D?
??


Created by MedConnoisseur ©2025/2026

, Chapter 01
ST
Overview of Statistics
UV
True / False Questions


1. Statistics is the science of collecting, organizing, analyzing, interpreting, and
presenting data.

True False
IA
2. Inferential statistics refers to generalizing from a sample to a population, estimating
unknown parameters, drawing conclusions, and making decisions.

True False
_A
3. Descriptive statistics refers to summarizing data rather than generalizing about the
population.

True False
PP
4. Estimating parameters and testing hypotheses are important aspects of descriptive
statistics.

True False

5. Inconsistent treatment of data by a researcher is a symptom of poor survey or
RO
research design.

True False

6. Empirical data are collected through observations and/or experiments.

True False
VE
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
D?
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
ST
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.
UV
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.

True False
IA
14. Statistical challenges include imperfect data, practical constraints, and ethical
dilemmas.

True False
_A
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.
PP
True False

17. Pitfalls to consider in a statistical test include nonrandom samples, small sample size,
and lack of causal links.
RO
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
VE
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
D?
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.
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