Advanced Probability: データの不確実性

Chapter 2 focuses on interpreting and managing uncertainty with respect to business outcomes. Learners will learn about common techniques like expected value calculations, confidence and prediction intervals, scenario analysis and sensitivity analysis.

In the final chapter, you will explore how simulation techniques can enhance decision-making in the presence of uncertainty. You will learn to apply resampling methods, Monte Carlo simulations, and decision trees to estimate uncertainty, assess risks, and visualize strategic choices. By integrating these techniques, you will develop the ability to synthesize insights and make data-driven recommendations in business scenarios.