(e-Book) Business Analytics: Data Analysis & Decision Making 7e (12 months Digital Access)- Albright

Categories: Business & Investment, e-Book/ Digital Access

RM65.00

Product Info

Author: S. Christian Albright, Wayne L. Winston
Publisher: Cengage Learning
Language: English
Type: Import
ISBN: 9789814878180
Edition: 7th Edition
Cover: Ebook and Others
Year: 2020

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Product Description

Guide your students in mastering data analysis, modeling and the effective use of spreadsheets with Albright/Winston’s popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E. This book’s quantitative methods approach delivers the tools to succeed with a proven teach-by-example approach, student-friendly writing style and complete integration with the latest version of Excel. You also have the flexibility to use earlier versions of Excel. This edition is more data-oriented than ever before with a new chapter covering the two main Power BI tools in Excel — Power Query and Power Pivot — and a section on data visualization with Tableau Public. Current problems, cases and examples highlight the relevance of the material. In addition, a Companion Website includes data and solutions files, PowerPoint slides, SolverTable for optimization sensitivity analysis and the Palisade DecisionTools Suite.

Table of Content

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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.