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Statistics for Business and Economics (with Bind-In Card) » (11st Edition)
Authors: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams
ISBN-13: 9780324783247, ISBN-10: 0324783248
Format: Hardcover
Publisher: Cengage Learning
Date Published: January 2010
Edition: 11st Edition
Author Biography: David R. Anderson
David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. Born in Grand Forks, North Dakota, he earned his B.S., M.S., and Ph.D. degrees from Purdue University. Professor Anderson has served as Head of the Department of Quantitative Analysis and Operations Management and as the Associate Dean of the College of Business Administration. In addition, he was the coordinator of the College's first Executive Program.
Book Synopsis
Intended for undergraduates studying business administration or economics, this textbook serves as a conceptual introduction to the field of statistics. Topics include data, descriptive statistics, probability, sampling, interval estimation, hypothesis testing, variance, regression, forecasting, nonparametric methods, and decision analysis. The text emphasizes applications--especially applications of data analysis--and assumes mathematical knowledge only at the level of algebra. The authors teach at the University of Cincinnati and the Rochester Institute of Technology. Annotation ©2004 Book News, Inc., Portland, OR
Table of Contents
| Ch. 1 | Data, Measurement, and Statistics | 1 |
| Statistics in Practice: Kings Island, Inc. | 2 | |
| 1.1 | Statistical Applications in Business and Economics | 3 |
| 1.2 | Data | 5 |
| 1.3 | Scales of Measurement | 5 |
| 1.4 | Data Acquisition | 11 |
| 1.5 | Descriptive Statistics | 14 |
| 1.6 | Statistical Inference | 15 |
| Ch. 2 | Descriptive Statistics I. Tabular and Graphical Approaches | 23 |
| Statistics in Practice: Colgate-Palmolive Company | 24 | |
| 2.1 | Summarizing Qualitative Data | 25 |
| 2.2 | Summarizing Quantitative Data | 30 |
| 2.3 | The Role of the Computer | 38 |
| 2.4 | Exploratory Data Analysis | 42 |
| Ch. 3 | Descriptive Statistics II: Measures of Location and Dispersion | 55 |
| Statistics in Practice: Barnes Hospital | 56 | |
| 3.1 | Measures of Location | 57 |
| 3.2 | Measures of Dispersion | 66 |
| 3.3 | Some Uses of the Mean and the Standard Deviation | 73 |
| 3.4 | Exploratory Data Analysis | 78 |
| 3.5 | The Role of the Computer | 82 |
| 3.6 | Computing Measures of Location and Dispersion for Grouped Data (Optional) | 85 |
| Ch. 4 | Introduction to Probability | 98 |
| Statistics in Practice: Morton International | 99 | |
| 4.1 | Experiments, the Sample Space, and Counting Rules | 100 |
| 4.2 | Assigning Probabilities to Experimental Outcomes | 106 |
| 4.3 | Events and Their Probabilities | 111 |
| 4.4 | Some Basic Relationships of Probability | 114 |
| 4.5 | Conditional Probability | 120 |
| 4.6 | Bayes' Theorem | 128 |
| Ch. 5 | Discrete Probability Distributions | 142 |
| Statistics in Practice: Xerox Corporation | 143 | |
| 5.1 | Random Variables | 144 |
| 5.2 | Discrete Probability Distributions | 146 |
| 5.3 | Expected Value and Variance | 149 |
| 5.4 | The Binomial Probability Distribution | 154 |
| 5.5 | The Poisson Probability Distribution | 165 |
| 5.6 | The Hypergeometric Probability Distribution | 169 |
| Ch. 6 | Continuous Probability Distributions | 177 |
| Statistics in Practice: Procter & Gamble | 178 | |
| 6.1 | The Uniform Probability Distribution | 179 |
| 6.2 | The Normal Probability Distribution | 183 |
| 6.3 | The Exponential Probability Distribution | 199 |
| Ch. 7 | Sampling and Sampling Distributions | 207 |
| Statistics in Practice: Mead Corporation | 208 | |
| 7.1 | The Electronics Associates Sampling Problem | 210 |
| 7.2 | Simple Random Sampling | 210 |
| 7.3 | Point Estimation | 216 |
| 7.4 | Introduction to Sampling Distributions | 219 |
| 7.5 | Sampling Distribution of [actual symbol not reproducible] | 223 |
| 7.6 | Sampling Distribution of [actual symbol not reproducible] | 234 |
| 7.7 | Properties of Point Estimators | 239 |
| Appendix: The Expected Value and Standard Deviation of [actual symbol not reproducible] | 247 | |
| Ch. 8 | Interval Estimation | 250 |
| Statistics in Practice: Dollar General Corporation | 251 | |
| 8.1 | Interval Estimation of a Population Mean: Large-Sample Case | 252 |
| 8.2 | Interval Estimation of a Population Mean: Small-Sample Case | 261 |
| 8.3 | Determining the Sample Size | 269 |
| 8.4 | Interval Estimation of a Population Proportion | 272 |
| Ch. 9 | Hypothesis Testing | 284 |
| Statistics in Practice: Harris Corporation | 285 | |
| 9.1 | Developing Null and Alternative Hypotheses | 286 |
| 9.2 | Type I and Type II Errors | 289 |
| 9.3 | One-Tailed Hypothesis Tests About a Population Mean: Large-Sample Case | 291 |
| 9.4 | Two-Tailed Hypothesis Tests About a Population Mean: Large-Sample Case | 301 |
| 9.5 | Hypothesis Tests about a Population Mean: Small-Sample Case | 308 |
| 9.6 | Hypothesis Tests about a Population Proportion | 313 |
| 9.7 | Hypothesis Testing and Decision Making | 319 |
| 9.8 | Calculating the Probability of Type II Errors | 320 |
| 9.9 | Determining the Sample Size for a Hypothesis Test about a Population Mean | 325 |
| Ch. 10 | Statistical Inference about Means and Proportions With Two Populations | 336 |
| Statistics in Practice: Pennwalt Corporation | 337 | |
| 10.1 | Estimation of the Difference between the Means of Two Populations: Independent Samples | 338 |
| 10.2 | Hypothesis: Tests about the Difference between the Means of Two Populations: Independent Samples | 347 |
| 10.3 | Inferences about the Difference between the Means of Two Populations: Matched Samples | 354 |
| 10.4 | Inferences about the Difference between the Proportions of Two Populations | 359 |
| Ch. 11 | Inferences about Population Variances | 370 |
| Statistics in Practice: U.S. General Accounting Office | 371 | |
11.1
Subjects
Business Books
 Economics Economic ReferenceBusiness Books Economics Economics - Mathematical & Quanitative MethodsScience & Nature All Science & Nature MathematicsNonfiction Science & Nature MathematicsNonfiction Science & Nature All Science & Nature
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