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Notes 13-4: Probabilities of Compound Events

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1 Notes 13-4: Probabilities of Compound Events
We have solved these so far: P(A and B) = P(A)•P(B) Note A and B are independent events (replacement included) P(A and B) = P(A)•P(B following A) Note A and B are dependent events (no replacement, ok to use )

2 Alternative notation used in other textbooks (also used by IB):
P(A and B) = P(A)•P(B) the “intersection” of A&B Venn Diagram: overlapping (intersecting) area of the two circles represents the overall probability.

3 Mutually exclusive events cannot happen at the same time
Mutually exclusive events cannot happen at the same time. P(A or B) = P(A) + P(B) Alternative notation: the “union” of A&B Venn Diagram: the overall probability is the sum (or union) of the two circles.

4 Mutually inclusive events are where some objects can satisfy (include) the conditions of both events. P(A or B) = P(A) + P(B) – P(A and B) sum of the areas overlap Alternative notation: = P(A) + P(B) –

5


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