Quantitative Methods for Business Excellence
A Practical Guide to Data-Driven Decision Making
Included:
✓ 200+ Page AI-Generated Book
✓ ePub eBook File — read on Kindle & Apple Books
✓ PDF Print File (Easy Printing)
✓ Word DOCX File (Easy Editing)
✓ Hi-Res Print-Ready Book Cover (No Logo Watermark)
✓ Full Commercial Use Rights — keep 100% of royalties
✓ Publish under your own Author Name
✓ Sell on Amazon KDP, IngramSpark, Lulu, Blurb & Gumroad to millions of readers worldwide
Introduction to Quantitative Methods for Business
This book provides a comprehensive introduction to quantitative methods for business, focusing on practical applications and real-world examples. It covers key topics such as probability and probability distributions, linear programming, simulation and forecasting, and decision analysis.
Key Features
- Applications-oriented approach
- Non-mathematical focus
- Problem-scenario approach
- Use of Excel and other tools
- Updated chapters on sensitivity analysis, distribution and network models, and regression
Topics Covered
- Probability and Probability Distributions
- Linear Programming
- Simulation and Forecasting
- Decision Analysis
Table of Contents
1. Introduction to Quantitative Methods- What are Quantitative Methods?
- Importance of Quantitative Methods in Business
- Overview of the Book
2. Probability and Probability Distributions
- Introduction to Probability
- Probability Distributions
- Applications of Probability in Business
3. Linear Programming
- Introduction to Linear Programming
- Graphical Solution Procedures
- Sensitivity Analysis
4. Simulation and Forecasting
- Introduction to Simulation
- Time Series Patterns
- Moving Averages and Exponential Smoothing
5. Decision Analysis
- Introduction to Decision Analysis
- Risk Analysis
- Sensitivity Analysis
6. Case Studies
- Case Study 1: Marketing
- Case Study 2: Finance
- Case Study 3: Operations Management
7. Conclusion
- Summary of Key Concepts
- Future of Quantitative Methods in Business
- Final Thoughts
8. Appendix
- Glossary of Terms
- References
- Index
9. Additional Resources
- Data Sets
- Spreadsheet Templates
- Additional Worked Examples
10. Glossary
- Key Terms
- Definitions
- References
11. Index
- Subject Index
- Author Index
- Company Index
12. References
- Books
- Articles
- Websites
Target Audience
Undergraduate and graduate students in business and management courses
Key Takeaways
- Understand the importance of quantitative methods in business decision making
- Learn how to apply quantitative methods in real-world business scenarios
- Develop skills in data analysis, probability, linear programming, simulation, forecasting, and decision analysis