Albright, S. Christian. <br/><br/>
Business analytics :  data analysis and decision making / 
 Data analysis and decision making 
S. Christian Albright, Kelly School of Business, Indiana University, Emeritus, Wayne L. Winston, Kelly School of Business, Indiana University ; with cases by Mark Broadie, Graduate School of Business, Columbia University, Peter Kolesar, Graduate School of Business, Columbia University, Lawrence L. Lapin, San Jose State University, William D. Whisler, Emeritus, California State University, Hayward. 
 - 5th edition. 
 - xviii, 990 pages :  illustrations ;  26 cm. 
<br/><br/> 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. 
<br/><br/>Includes bibliographical references (pages 985-986) and index. 
<br/><br/>1. 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. 
<br/><br/> Helps you become a master of data analysis, modeling, and spreadsheet use. This book provides users with the tools to succeed with a teach-by-example approach, student-friendly writing style, and complete Excel 2013 integration.  
<br/><br/><label>ISBN: </label>9781133629603 (cover page 4) 9781133588269 (verso of title page) 1133588263 (verso of title page) 
<br/><br/><label>LCCN: </label>2013946375 
<br/><br/><label>Subjects--Uniform Titles: </label><br/>Microsoft Excel (Computer file)
<br/><br/><label>Subjects--Topical Terms: </label><br/>Industrial management--Statistical methods--Computer programs.<br/>Decision making--Computer programs.
<br/><br/><label>LC Class. No.: </label>HD30.215  / .A37 2015 
<br/><br/><label>Dewey Class. No.: </label>005.54/Al15