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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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Institución
Applied Statistics in Business and Economics
Grado
Applied Statistics in Business and Economics

Información del documento

Subido en
28 de octubre de 2025
Número de páginas
1550
Escrito en
2025/2026
Tipo
Examen
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ST
Applied Statistics in Business and
UV Economics – 5th Edition
IA_
TEST BANK
AP
PR
O VE
David P. Doane


Lori E. Seward
D?
Comprehensive Test Bank for Instructors

and Students

© David P. Doane & Lori E. Seward

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




Created by MedConnoisseur ©2025/2026

,ST
TABLE OF CONTENTS
Applied Statistics in Business and Economics – 5th Edition
UV
David P. Doane & Lori E. Seward
IA_
1. Overview of Statistics
2. Data Collection
AP
3. Describing Data Visually
4. Descriptive Statistics
5. Probability PR
6. Discrete Probability Distributions
7. Continuous Probability Distributions
8. Sampling Distributions and Estimation
O
9. One-Sample Hypothesis Tests
10.Two-Sample Hypothesis Tests
VE
11.Analysis of Variance
12.Simple Regression D?
13.Multiple Regression
14.Time-Series Analysis
15.Chi-Square Tests
16.Nonparametric Tests
17.Quality Management
18.Simulation




Created by MedConnoisseur ©2025/2026

,ST Chapter 01
UV Overview of Statistics

IA_
True / False Questions


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

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

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

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
ED
research design. ?
True False

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

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

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.

, ST
10. The post hoc fallacy says that when B follows A then B is caused by A.

True False
UV
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.
IA_
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
AP
14. Statistical challenges include imperfect data, practical constraints, and ethical
dilemmas.

True False

15. A business data analyst needs a PhD in statistics.
PR
True False OV
16. The science of statistics tells us whether the sample evidence is convincing.

True False


and lack of causal links.

True False
ED
17. Pitfalls to consider in a statistical test include nonrandom samples, small sample size,




18. In business communication, a table of numbers is preferred to a graph because it is
more able to convey meaning.
?
True False

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
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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