| INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
978-1305947542 |
| DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Call number |
0 |
| MAIN ENTRY--PERSONAL NAME |
|---|
| Authors |
Albright, S. Christian |
| TITLE STATEMENT |
|---|
| Title |
Business analytics data analysis & decision making |
| Statement of responsibility, etc |
S. Christian Albright, Wayne L. Winston |
| EDITION STATEMENT |
|---|
| Edition |
6th ed. |
| PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication |
Boston, USA : |
| Publisher |
Cengage Learning, |
| Date |
c2017. |
| PHYSICAL DESCRIPTION |
|---|
| Extent |
xxv, 952 p. : |
| Other Details |
ill. ; |
| Size |
27 cm. |
| GENERAL NOTE |
|---|
| General note |
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 (@RISK, BigPicture, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver). |
| CONTENTS |
|---|
| Contents |
1. Introduction to Business Analytics. 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. |
| STUDY PROGRAM |
|---|
| Program name |
MBAS904 |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical Heading |
Microsoft Excel (Computer file) |
| ADDED ENTRY |
|---|
| Name |
Winston, Wayne L. |
| MAIN ENTRY--PERSONAL NAME |
|---|
| -- |
36892 |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| -- |
328 |
| ADDED ENTRY |
|---|
| -- |
36893 |