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Essentials of Statistics for
Business & Economics
ST
9th Edition
UV
SOLUTIONS
IA
MANUAL
_A
PP
David R. Anderson Dennis J. Sweeney Thomas A. Williams
Jeffrey D. Camm James J. Cochran
RO
Comprehensive Solutions Manual for Instructors
and Students
VE
||| ||| || ||| || | || ||| | || ||| |
9780357045435
D?
© David R. Anderson, Dennis J. Sweeney, et al. All rights
reserved. Reproduction or distribution without permission is
prohibited.
© MEDGEEK
, TABLE OF CONTENTS
Solutions Manual – Essentials of Statistics for Business & Economics (9th Edition)
Authors: David R. Anderson, Dennis J. Sweeney, et al.
ISBN: 9780357045435
ST
PART I: DESCRIPTIVE STATISTICS
Chapter 1: Data and Statistics
Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
UV
Chapter 3: Descriptive Statistics: Numerical Measures
PART II: PROBABILITY AND DISTRIBUTIONS
Chapter 4: Introduction to Probability
Chapter 5: Discrete Probability Distributions
IA
Chapter 6: Continuous Probability Distributions
PART III: SAMPLING AND STATISTICAL INFERENCE
_A
Chapter 7: Sampling and Sampling Distributions
Chapter 8: Interval Estimation
Chapter 9: Hypothesis Tests
Chapter 10: Inference About Means and Proportions with Two Populations
Chapter 11: Inferences About Population Variances
PP
PART IV: NONPARAMETRIC TESTS AND ANOVA
Chapter 12: Comparing Multiple Proportions, Test of Independence and Goodness of Fit
Chapter 13: Experimental Design and Analysis of Variance
RO
PART V: REGRESSION ANALYSIS
Chapter 14: Simple Linear Regression
Chapter 15: Multiple Regression
VE
D?
, SOLUTION MANUAL FOR
Essentials of Statistics for Business & Economics 9th Edition by David R.
Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm,
James J. Cochran
ST
Chapter 1
UV
Data and Statistics
Learning Objectives
1. Obtain an appreciation for the breadth of statistical applications in business and
IA
economics.
2. Understand the meaning of the terms elements, variables, and observations as they are
_A
used in statistics.
3. Obtain an understanding of the difference between categorical, quantitative, cross-
PP
sectional, and time-series data.
4. Learn about the sources of data for statistical analysis both internal and external to the
firm.
RO
5. Be aware of how errors can arise in data.
6. Know the meaning of descriptive statistics and statistical inference.
7. Be able to distinguish between a population and a sample.
VE
8. Understand the role a sample plays in making statistical inferences about the population.
9. Know the meaning of the term data mining.
D?
10. Be aware of ethical guidelines for statistical practice.
Solutions:
1. Statistics can be referred to as numerical facts. In a broader sense, statistics is the field of
© 2019 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
, study dealing with the collection, analysis, presentation and interpretation of data.
2. a. The 10 elements are the 10 tablet computers
b. Five variables: Cost ($), Operating System, Display Size (inches), Battery Life
ST
(hours), and CPU Manufacturer
c Categorical variables: Operating System and CPU Manufacturer
UV
Quantitative variables: Cost ($), Display Size (inches), and Battery Life (hours)
d.
Variable Measurement Scale
IA
Cost ($) Ratio
_A
Operating system Nominal
Display size (inches) Ratio
PP
Battery life (hours) Ratio
CPU manufacturer Nominal
3. a. Average cost = 5829/10 = $582.90
RO
b. Average cost with a Windows operating system = 3616/5 = $723.20
Average cost with an Android operating system = 1,714/4 = $428.5
The average cost with a Windows operating system is much higher.
VE
c. Ten of 10 or 20% use a CPU manufactured by TI OMAP
d. Four of 10 or 40% use an Android operating system
D?
4. a. There are eight elements in this data set; each element corresponds to one of the eight
models of cordless telephones.
b. Categorical variables: Voice Quality and Handset on Base
© 2019 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
Essentials of Statistics for
Business & Economics
ST
9th Edition
UV
SOLUTIONS
IA
MANUAL
_A
PP
David R. Anderson Dennis J. Sweeney Thomas A. Williams
Jeffrey D. Camm James J. Cochran
RO
Comprehensive Solutions Manual for Instructors
and Students
VE
||| ||| || ||| || | || ||| | || ||| |
9780357045435
D?
© David R. Anderson, Dennis J. Sweeney, et al. All rights
reserved. Reproduction or distribution without permission is
prohibited.
© MEDGEEK
, TABLE OF CONTENTS
Solutions Manual – Essentials of Statistics for Business & Economics (9th Edition)
Authors: David R. Anderson, Dennis J. Sweeney, et al.
ISBN: 9780357045435
ST
PART I: DESCRIPTIVE STATISTICS
Chapter 1: Data and Statistics
Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
UV
Chapter 3: Descriptive Statistics: Numerical Measures
PART II: PROBABILITY AND DISTRIBUTIONS
Chapter 4: Introduction to Probability
Chapter 5: Discrete Probability Distributions
IA
Chapter 6: Continuous Probability Distributions
PART III: SAMPLING AND STATISTICAL INFERENCE
_A
Chapter 7: Sampling and Sampling Distributions
Chapter 8: Interval Estimation
Chapter 9: Hypothesis Tests
Chapter 10: Inference About Means and Proportions with Two Populations
Chapter 11: Inferences About Population Variances
PP
PART IV: NONPARAMETRIC TESTS AND ANOVA
Chapter 12: Comparing Multiple Proportions, Test of Independence and Goodness of Fit
Chapter 13: Experimental Design and Analysis of Variance
RO
PART V: REGRESSION ANALYSIS
Chapter 14: Simple Linear Regression
Chapter 15: Multiple Regression
VE
D?
, SOLUTION MANUAL FOR
Essentials of Statistics for Business & Economics 9th Edition by David R.
Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm,
James J. Cochran
ST
Chapter 1
UV
Data and Statistics
Learning Objectives
1. Obtain an appreciation for the breadth of statistical applications in business and
IA
economics.
2. Understand the meaning of the terms elements, variables, and observations as they are
_A
used in statistics.
3. Obtain an understanding of the difference between categorical, quantitative, cross-
PP
sectional, and time-series data.
4. Learn about the sources of data for statistical analysis both internal and external to the
firm.
RO
5. Be aware of how errors can arise in data.
6. Know the meaning of descriptive statistics and statistical inference.
7. Be able to distinguish between a population and a sample.
VE
8. Understand the role a sample plays in making statistical inferences about the population.
9. Know the meaning of the term data mining.
D?
10. Be aware of ethical guidelines for statistical practice.
Solutions:
1. Statistics can be referred to as numerical facts. In a broader sense, statistics is the field of
© 2019 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
, study dealing with the collection, analysis, presentation and interpretation of data.
2. a. The 10 elements are the 10 tablet computers
b. Five variables: Cost ($), Operating System, Display Size (inches), Battery Life
ST
(hours), and CPU Manufacturer
c Categorical variables: Operating System and CPU Manufacturer
UV
Quantitative variables: Cost ($), Display Size (inches), and Battery Life (hours)
d.
Variable Measurement Scale
IA
Cost ($) Ratio
_A
Operating system Nominal
Display size (inches) Ratio
PP
Battery life (hours) Ratio
CPU manufacturer Nominal
3. a. Average cost = 5829/10 = $582.90
RO
b. Average cost with a Windows operating system = 3616/5 = $723.20
Average cost with an Android operating system = 1,714/4 = $428.5
The average cost with a Windows operating system is much higher.
VE
c. Ten of 10 or 20% use a CPU manufactured by TI OMAP
d. Four of 10 or 40% use an Android operating system
D?
4. a. There are eight elements in this data set; each element corresponds to one of the eight
models of cordless telephones.
b. Categorical variables: Voice Quality and Handset on Base
© 2019 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
