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Solution Manual for Business Analytics: Data Analysis & Decision Making 6th Edition Albright

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Solution Manual for Business Analytics: Data Analysis & Decision Making, 6th Edition, S. Christian Albright,

Product details:

  • ISBN-10 ‏ : ‎ 1305947541
  • ISBN-13 ‏ : ‎ 978-1305947542
  • Author: S. Christian Albright , Wayne L. Winston

Become a master of data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 6E! This popular quantitative methods text helps you maximize your success with its proven teach-by-example approach, student-friendly writing style, and complete Excel 2016 integration. (It is also compatible with Excel 2013, 2010, and 2007.) The text devotes three online chapters to advanced statistical analysis. Chapters on data mining and importing data into Excel emphasize tools commonly used under the Business Analytics umbrella — including Microsoft Excel�s �Power BI� suite. Up-to-date problem sets and cases demonstrate how chapter concepts relate to real-world practice. In addition, the Companion Website includes data and solutions files, PowerPoint slides, SolverTable for sensitivity analysis, and the Palisade DecisionTools Suite

Table of contents:

1. Introduction to Business Analytics.

Part 1: DATA ANALYSIS.

2. Describing the Distribution of a Variable.

3. Finding Relationships among Variables.

4. Business Intelligence (BI) Tools for Data Analysis

Part 2: PROBABILITY AND DECISION MAKING UNDER UNCERTAINTY.

5. Probability and Probability 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. Analysis of Variance and Experimental Design.

19. Statistical Process Control. Appendix A: Statistical Reporting.

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