Learners will solve multi-step and real-world problems using the Addition Rule, including problems that integrate conditional probability concepts.

Use expected value and conditional probability to evaluate real-world decisions in product testing, medical screening, sports strategy, and risk-reward trade-offs, culminating in a decision analysis project.

Learners will apply conditional probability to real-world contexts, reverse conditional probabilities, and solve multi-step problems.

Learners will compare data sets by analyzing distribution shapes, identifying outliers using the 1.5 × IQR rule, and evaluating the impact of extreme values.