Stats Ch. 10 - Independence and Conditional Probabilities

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7 Terms

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Independent

If the outcome of one event does not affect the affect the probability of the second event

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Conditional Probability

The chances of something happening given that something else happened
Ex) The chances of P(A) given P(B) becomes P(A|B) = P(A and B) / P(B)

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General Addition Rule

Addition Rule for Disjoint/Dependent events; P(A or B) = P(A) + P(B)

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Multiplication Rule

Multiplication Rule for Independent events; P(A and B) = P(A) x P(B)
If this is not true then the event is dependent

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Tree Diagrams

A convenient way of visualizing the sample space for data

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Bayee’s Theorem

Probably of P(A|B) is not the same as P(B|A)

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Disjoint

If the two events are dependent