Describing Events In Sample Space Using Set Theory

Defining And Recognizing Conditional Probability

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

Finding Conditional Probabilities

Finding The Conditional Probability Of One Event Given Another Event

Interpreting Independence In Terms Of Conditional Probability

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

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

Describing Events As Unions, Intersections Or Complements

Describing Events As Unions, Intersections Or Complements Of Other Events

Recognising And Explaining Independent Events

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

Understanding Conditions For Independence Of Events

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