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# Probability of Compound Events

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Basic Probability

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Experimental probability is the ratio of the proposed outcome to the number of experimental trials.

$P(success)= \frac{number \ of \ times \ the \ event \ occured}{total \ number \ of \ trials \ of \ experiment}$

List three ways to express probability: _____________________________________________

What are compound events? ________________________________________________

What is the difference between independent and dependent events?

______________________________________________________________________

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Independent Events:

$P(A \ and \ B)=P(A) \cdot P(B)$

Dependent Events:

$P(A \ and \ B)=P(A) \cdot P(B \ following \ A)$

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What does it mean if two events are mutually exclusive________________________________________________________________

To find the probability of one or the other mutually exclusive or inclusive event, add the individual probabilities and subtract the probability they occur at the same time.

$P(A \ or \ B)=P(A)+P(B)-P(A \cap B)$

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