Curriculum
Statistics — Third Secondary
Unit 1: Correlation and Regression
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Unit 2: Advanced Statistical Measures
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Unit 3: Probability
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Unit 4: Random Variables
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Unit 5: The Normal Distribution
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Text lesson
Conditional Probability and Independent Events
Conditional Probability and Independent Events
Review: sample space and events
Review: sample space and events
- The sample space (S) is the set of all possible outcomes of a random experiment.
- An event is a subset of S.
- When all outcomes are equally likely, the probability of an event is:
- P(A) = number of outcomes in A ÷ number of outcomes in S
- We use the union A ∪ B (at least one of the events occurs), the intersection A ∩ B (both events occur together) and the complement A′ (A does not occur).
- The addition rule is P(A ∪ B) = P(A) + P(B) − P(A ∩ B).
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