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Unformatted text preview: P(A and B) = P(A) P(B) provided A and B are This means that events A and B dont affect independent each other This also applies to more than two events P(A and B and C) = P(A) P(B) P(C) provided these three events are independent P(A or B) = P(A) + P(B) provided A and B are This means that events A and B cannot both occur mutually exclusive This also applies to more than two events P(A or B or C) = P(A) + P(B) + P(C) provided these three events are mutually exclusive This example is in the textbook A certain community has a morning paper and an evening paper The three pieces of information: 20% of the people take the morning paper P(M) = .2 30% of the people take the evening paper P( E) = .3 10% of the people take both P(M and E) = .1 P(M or E) is 40/100 = .4 So, 40% of the people take one paper or the other This is a conditional probability: P(EM) is 10/20 = .5 So, 50% of the morning subscribers take the evening paper...
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This note was uploaded on 01/13/2012 for the course DCSI 3710 taught by Professor Pavur during the Fall '11 term at North Texas.
 Fall '11
 Pavur

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