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Course Notes - Department of Mathematics and Statistics

Course Notes - Department of Mathematics and Statistics

Course Notes - Department of Mathematics and Statistics

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Now using the complementary event rule we can substract thisprobability from 1, meaning there is a 50.73% chance that at least two<strong>of</strong> the people share birthday so this seemingly remarkable coincidenceoccurs more <strong>of</strong>ten than not.The probability that someone in the room had the same birthday asFred is slightly different, since the probability <strong>of</strong> each <strong>of</strong> the otherpeople not sharing Fred’s birthday would be 364365, so the probability noone shares Fred’s birthday is (365 364)22= 0.9414. Using complimentaryevents this tells us the probability someone shares Fred’s Birthday is1 − 0.9414 = 0.0586. This is quite rare event, so would have beensurprising.An underst<strong>and</strong>ing <strong>of</strong> what we are actually asking, <strong>and</strong> a basic underst<strong>and</strong>ing<strong>of</strong> probability can make seemingly impossible conincidencesactually appear quite reasonable.59

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