Business analytics
Business analytics
- Cengage Learning, 2015
- xviii, 990 pages : illustrations ; 26 cm
data analysis and decision making
Fourth edition was published: Data analysis and decision making / S. Christian Albright, Wayne L. Winston, Christopher Zappe ; with cases by Mark Broadie ... [et al.]. Mason, Ohio : South-Western/Cengage Learning, 2011. Includes Internet study tools access card bound inside front matter.-- -- . Introduction to Data Analysis and Decision Making. Part 1: EXPLORING DATA. 2. Describing the Distribution of a Single Variable. 3. Finding Relationships among Variables. Part 2: PROBABILITY AND DECISION MAKING UNDER UNCERTAINTY. 4. Probability and Probability Distributions. 5. Normal, Binomial, Poisson, and Exponential Distributions. 6. Decision Making under Uncertainty. Part 3: STATISTICAL INFERENCE. 7. Sampling and Sampling Distributions. 8. Confidence Interval Estimation. 9. Hypothesis Testing. Part 4: REGRESSION ANALYSIS AND TIME SERIES FORECASTING. 10. Regression Analysis: Estimating Relationships. 11. Regression Analysis: Statistical Inference. 12. Time Series Analysis and Forecasting. Part 5: OPTIMIZATION AND SIMULATION MODELING. 13. Introduction to Optimization Modeling. 14. Optimization Models. 15. Introduction to Simulation Modeling. 16. Simulation Models. Part 6: ADVANCED DATA ANALYSIS. 17. Data Mining. Part 7: BONUS ONLINE MATERIAL. 18. Importing Data into Excel. 19. Analysis of Variance and Experimental Design. 20. Statistical Process Control. Appendix A. Statistical Reporting.--
9788131526613
CLASS H - SOCIAL SCIENCES
Industrial management -- Statistical methods Computer programs
Decision making Microsoft Excel (Computer file)
data analysis and decision making
Fourth edition was published: Data analysis and decision making / S. Christian Albright, Wayne L. Winston, Christopher Zappe ; with cases by Mark Broadie ... [et al.]. Mason, Ohio : South-Western/Cengage Learning, 2011. Includes Internet study tools access card bound inside front matter.-- -- . Introduction to Data Analysis and Decision Making. Part 1: EXPLORING DATA. 2. Describing the Distribution of a Single Variable. 3. Finding Relationships among Variables. Part 2: PROBABILITY AND DECISION MAKING UNDER UNCERTAINTY. 4. Probability and Probability Distributions. 5. Normal, Binomial, Poisson, and Exponential Distributions. 6. Decision Making under Uncertainty. Part 3: STATISTICAL INFERENCE. 7. Sampling and Sampling Distributions. 8. Confidence Interval Estimation. 9. Hypothesis Testing. Part 4: REGRESSION ANALYSIS AND TIME SERIES FORECASTING. 10. Regression Analysis: Estimating Relationships. 11. Regression Analysis: Statistical Inference. 12. Time Series Analysis and Forecasting. Part 5: OPTIMIZATION AND SIMULATION MODELING. 13. Introduction to Optimization Modeling. 14. Optimization Models. 15. Introduction to Simulation Modeling. 16. Simulation Models. Part 6: ADVANCED DATA ANALYSIS. 17. Data Mining. Part 7: BONUS ONLINE MATERIAL. 18. Importing Data into Excel. 19. Analysis of Variance and Experimental Design. 20. Statistical Process Control. Appendix A. Statistical Reporting.--
9788131526613
CLASS H - SOCIAL SCIENCES
Industrial management -- Statistical methods Computer programs
Decision making Microsoft Excel (Computer file)
