Statistics for management and economics / Gerald Keller
Material type:
- 9789814239578
- HD 30.215 .K45 2008

Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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National University - Manila | LRC - Annex II General Circulation | Gen. Ed. - CBA | GC HD 30.215 .K45 2008 c.2 (Browse shelf(Opens below)) | c.2 | Available | NULIB000019364 |
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GC HD 30.28 .W44 2010 c.3 Strategic management and business policy : achieving sustainability / | GC HD 30.37 .M39 1997 Web commerce cookbook / | GC HD 30.215 .K45 2008 c.1 Statistics for management and economics / | GC HD 30.215 .K45 2008 c.2 Statistics for management and economics / | GC HD 31.2 .H69 2018 HBR's 10 must reads : the definitive management ideas of the year from Harvard Business Review 2018. | GC HD 31.2 .H69 2019 HBR's 10 must reads : the definitive management ideas of the year from Harvard Business Review 2019. | GC HD 38.2 .C7 1997 Executive EQ : emotional intelligence in business / |
Includes index.
1. What is statistics -- 2. Graphical and tabular descriptive techniques -- 3. Art and science of graphical presentations -- 4. Numerical descriptive techniques -- 5. Data Collection and Sampling -- 6. Probability -- 7. Random variables and discrete probability distributions -- 8. Continuous probability distributions -- 9. Sampling Distributions -- 10. Introduction to estimation -- 11. Introduction to hypothesis testing -- 12. Inference about comparing two population -- 13. Inference about comparing two populations -- 14. Statistical inference: Review of Chapters 12 and 13 -- 15. Analysis of variance -- 16. Chi-Squared tests -- 17. Simple Linear Regression and correlation -- 18. Multiple regression -- 19. Model Building -- 20. Time series analysis and forecasting -- 21. Nonparametic statistics -- 22. Statistical process control -- 23. Decision analysis -- 24. Statistical Inference: Conclusion.
Businesses are increasingly using statistical techniques to convert data into information. For students preparation for the business world, it is not enough merely to focus on mastering a diverse set of statistical techniques and calculations.
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