This book dives deep into the art of creating realistic simulations using Excel. Starting with simple concepts like dice rolls and roulette, it gradually introduces advanced scenarios in genetics, finance, and statistics. Each example is designed to help readers understand the principles of modeling and problem-solving with step-by-step guidance.
Readers will explore Monte Carlo simulations, hypothesis testing, and iterative techniques to tackle real-world challenges. The book covers diverse applications, such as risk analysis, DNA sequencing, and stock market predictions. It emphasizes practical approaches that make complex techniques accessible, even for users with basic Excel skills.
By the end, readers will have hands-on experience designing and testing custom simulations for various fields. Whether analyzing traffic patterns, forecasting market trends, or studying population dynamics, this book equips users with the tools and confidence to address multifaceted problems effectively.

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Spis treści

100 Excel Simulations. Using Excel to Model Risk, Investments, Genetics, Growth, Gambling and Monte Carlo Analysis eBook -- spis treści

• 1. Gambling
• 2. Statistics
• 3. Genetics
• 4. Financial
• 5. Expansion
• 6. Monte Carlo Simulations
• 7. Iterations
• 8. Extras
• 9. Miscellanea