Mathematics: Applications and Interpretation HL
Applied probability and decision analysis
Binomial, geometric, expected value, decision-tree, and payoff reasoning for AI HL.
Use exact binomial probabilities
Calculate exact binomial probabilities in applied trial contexts.
Use cumulative binomial probabilities
Add binomial probabilities to answer at-most or at-least questions.
Use geometric distributions
Calculate the probability that the first success occurs on a specified trial.
Calculate expected monetary value
Use outcome values and probabilities to calculate an expected payoff.
Compare decision tree expected values
Calculate branch expected values and identify the better decision.