Describing Events In Sample Space Using Set Theory

Applying And Interpreting The Addition Rule Of Probability I.e. P(a Or B) = P(a) + P(b) – P(a And B)

Applying And Interpreting The Multiplication Rule Of Probability I.e. P(a And B) = P(a)p(b|a) = P(b)p(a|b)

Counting And Finding Combinations (including Using The Formula)

Counting And Finding Permutations (including Using The Formula)

Using Combinations To Compute Probabilities Of Compound Events And Solve Problems

Using Permutations To Compute Probabilities Of Compound Events And Solve Problems

Calculating Theoretical Probabilities In The Context Of Area Models

Evaluating And Comparing Strategies Based On Expected Values

Finding The Expected Payoff For A Game Of Chance

Using Probability Concepts To Analyse Strategies And Make Fair Decisions

Calculate Expected Payoff In Chance Game

Comparing Strategies Via Expected Values

Calculating And Interpreting The Expected Value Of A Random Variable

Developing A Probability Distribution For A Random Variable For Which Theoretical/experimental Probabilities Can Be Calculated (including Binomial Distribution).