Statistics for Management - Books Part A and B
With Statistics for Management, Levin and Rubin have provided a non-intimidating business statistics book that users can easily read and understand. Like its predecessors, the seventh edition includes the absolute minimum of mathematical/statistical notation necessary to teach the material. Concepts are fully explained in simple, easy-to-understand language as they are presented, making the book an excellent source from which to learn and teach. After each discussion, readers are guided...
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With Statistics for Management, Levin and Rubin have provided a non-intimidating business statistics book that users can easily read and understand. Like its predecessors, the seventh edition includes the absolute minimum of mathematical/statistical notation necessary to teach the material. Concepts are fully explained in simple, easy-to-understand language as they are presented, making the book an excellent source from which to learn and teach. After each discussion, readers are guided through real-world examples to show how book principles work in professional practice.Includes easy-to-understand explanations of difficult statistical topics, such as sampling distributions, relationship between confidence level and confidence interval, interpreting r-square. A complete package of teaching/learning aids is provided in every chapter, including chapter review exercises, chapter concepts tests,"Statistics at Work" conceptual cases, "Computer Database Exercises", "From the Textbook to the Real-World Examples."This ISBN is in two volumes Part A and Part B.
1. Introduction. 2. Grouping and Displaying Data to Convey Meaning: Tables and Graphs. 3. Measures of Central Tendency and Dispersion in Frequency Distributions. 4. Probability I: Introductory Ideas. 5. Probability Distributions. 6. Sampling and Sampling Distributions. 7. Estimation. 8. Testing Hypotheses: One Sample Tests. 9. Testing Hypotheses: Two-Sample Tests.10. Quality and Quality Control.11. Chi-Square and Analysis of Variance.12. Simple Regression and Correlation.13. Multiple Regression and Modeling.14. Nonparametric Methods.15. Time Series and Forecasting.16. Index Numbers.17. Decision Theory.Appendix Tables.
