# Ch. 2 Conditional Probability

Sections covered: 2.4, 2.5

(Section 2.5 was covered earlier; now we’re adding the definition of independence in terms of conditional probability on p. 85: “Two events A and B are independent if P(A|B) = P(A) and are dependent otherwise.”)

## Resources

Extra practice problems, Bayes Theorem

(Posted on Twitter as a response to Bill Gates’ provocative comment that he’d rather encounter a shark than a mosquito in the wild.)