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Applied Statistics in Business and Economics
David Doane
5th Edition
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,Table of Contents
Part 1: Introduction and Descriptive Statistics
1. Overview of Statistics
2. Data Collection and Sampling
3. Describing Data: Frequency Tables, Charts, and Graphs
4. Descriptive Statistics: Numerical Measures
Part 2: Probability and Probability Distributions
5. Introduction to Probability
6. Discrete Probability Distributions
7. The Normal Distribution and Other Continuous Distributions
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Part 3: Statistical Inference
8. Sampling Distributions and Estimation
9. Confidence Intervals for Means and Proportions
10. Hypothesis Testing for Means and Proportions
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11. Inferences about Population Variances
Part 4: Comparing Two or More Samples
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12. Comparing Two Populations
13. Analysis of Variance (ANOVA)
14. Nonparametric Tests
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Part 5: Regression and Correlation Analysis
15. Simple Linear Regression
16. Multiple Regression
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17. Model Building and Dummy Variables
18. Time-Series Analysis and Forecasting
Part 6: Advanced Topics in Business Statistics
19. Quality Control and Process Improvement
20. Decision Making under Uncertainty
21. Index Numbers and Economic Indicators
Part 7: Appendices and Reference Materials
A. Statistical Tables
B. Formulas and Symbols
,C. Excel and Statistical Software Applications
D. Answers to Selected Problems
E. Glossary
F. Index
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, Chapter 01
Overview of Statistics
True / False Questions
1. Statistics is the science of collecting, organizing, analyzing, interpreting, and
presenting data.
True False
2. Inferential statistics refers to generalizing from a sample to a population, estimating
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unknown parameters, drawing conclusions, and making decisions.
True False
3. Descriptive statistics refers to summarizing data rather than generalizing about the
population.
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True False
4. Estimating parameters and testing hypotheses are important aspects of descriptive
statistics.
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True False
5. Inconsistent treatment of data by a researcher is a symptom of poor survey or
research design.
True False
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6. Empirical data are collected through observations and/or experiments.
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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
Applied Statistics in Business and Economics
David Doane
5th Edition
PR
O
FD
O
C
,Table of Contents
Part 1: Introduction and Descriptive Statistics
1. Overview of Statistics
2. Data Collection and Sampling
3. Describing Data: Frequency Tables, Charts, and Graphs
4. Descriptive Statistics: Numerical Measures
Part 2: Probability and Probability Distributions
5. Introduction to Probability
6. Discrete Probability Distributions
7. The Normal Distribution and Other Continuous Distributions
PR
Part 3: Statistical Inference
8. Sampling Distributions and Estimation
9. Confidence Intervals for Means and Proportions
10. Hypothesis Testing for Means and Proportions
O
11. Inferences about Population Variances
Part 4: Comparing Two or More Samples
FD
12. Comparing Two Populations
13. Analysis of Variance (ANOVA)
14. Nonparametric Tests
O
Part 5: Regression and Correlation Analysis
15. Simple Linear Regression
16. Multiple Regression
C
17. Model Building and Dummy Variables
18. Time-Series Analysis and Forecasting
Part 6: Advanced Topics in Business Statistics
19. Quality Control and Process Improvement
20. Decision Making under Uncertainty
21. Index Numbers and Economic Indicators
Part 7: Appendices and Reference Materials
A. Statistical Tables
B. Formulas and Symbols
,C. Excel and Statistical Software Applications
D. Answers to Selected Problems
E. Glossary
F. Index
PR
O
FD
O
C
, Chapter 01
Overview of Statistics
True / False Questions
1. Statistics is the science of collecting, organizing, analyzing, interpreting, and
presenting data.
True False
2. Inferential statistics refers to generalizing from a sample to a population, estimating
PR
unknown parameters, drawing conclusions, and making decisions.
True False
3. Descriptive statistics refers to summarizing data rather than generalizing about the
population.
O
True False
4. Estimating parameters and testing hypotheses are important aspects of descriptive
statistics.
FD
True False
5. Inconsistent treatment of data by a researcher is a symptom of poor survey or
research design.
True False
O
6. Empirical data are collected through observations and/or experiments.
C
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
