ISBN | Product | Product | Price CHF | Available | |
---|---|---|---|---|---|
Statistics for Management: Pearson New International Edition |
9781292039930 Statistics for Management: Pearson New International Edition |
90.30 |
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Appropriate for one or two term courses in introductory Business Statistics. With Statistics for Management, Levin and Rubin have provided a non-intimidating business statistics textbook that students 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 text an excellent source from which to learn and teach. After each discussion, readers are guided through real-world examples to show how textbook principles work in professional practice.
Sampling distributions. Pg.___
Relationship between confidence level and confidence interval. Pg.___
Interpreting “r-square”. Pg.___
Chapter review exercises.
Chapter concepts tests.
“Statistics at Work” conceptual cases. Pg.___
“Computer Database Exercises. Pg.___
“From the Textbook to the Real-World Examples”. Pg.___
Flow charts.
Chapter glossaries.
Chapter learning objectives.
Assumptions and hints boxes.
Real-world exercises.
Chapter-opening problems (worked later in chapter).
Equations introduced and explained sections.
Marginal notes.
Explanation of the Poisson distribution. Pg.___
Standard error of the difference between two means. Pg.___
Explanation and decomposition of deviation. Pg.___
In-chapter exercises (both basic and applications- oriented).
Self-check exercises with worked out answers in each section.
End-of-chapter review exercises with each chapter.
Real-world exercises in each chapter.
Chapter concepts test exercises in each chapter.
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.