Describing Events In Sample Space Using Set Theory

Defining Conditional Probability, Recognising And Explaining Its Concept In Daily Language And Situations

Finding The Conditional Probability Of One Event Given Another Event

Interpreting The Independence Of Two Events In Terms Of Conditional Probability

Using A Two-way Table As A Sample Space To Approximate Conditional Probabilities

Describing Events As Subsets Of A Sample Space Using Characteristics Of The Outcomes

Describing Events As Unions, Intersections Or Complements Of Other Events

Recognising And Explaining The Concept Of Independent Events In Daily Language And Situations

Understanding The Mathematical Conditions Necessary For Two Events To Be Independent (including Using Two-way Tables As Sample Space).

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).