Conditional Probability and Bayes
- Understand conditional probability and how it differs from joint and marginal probability through visual, interactive setups.
- Learn and apply Bayes’ Theorem to real-world scenarios such as medical testing, email spam filtering, and quality control.
- Interpret and compute probabilities using visual tools such as Venn diagrams, population grids, and tree diagrams.
- Build intuition around P(A|B) vs P(B|A) by receiving immediate feedback on common mistakes and misconceptions.