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By PNeil E Cotter ROBABILITY CONDITIONAL PROBABILITY Discrete random variables DEFINITIONS AND FORMULAS DEF P(AB) ≡ the (conditional) Probability of A given B occurs NOT'N ≡ "given" EX The probability that event A occurs may change if we know event B has occurred For example, if A ≡ it will snow today, and if B ≡ it is 90° outside, then knowing that B=F (PE) B=F (PE) means that Behaviour is the Function of P ersonality and Environment Hollander uses this equation to show that behaviour is a combination of inherent personality traits and environmental factors Sergio Ramos shows this as in many games when playing for Real Madrid he received red and yellow cardsJohn Harrison ST Homework0 Lecture Notes ST () I Review from Tues Feb 1st a) Conditional Probability What is the probability event A will happen, given that event B



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P(F) Proof the de nition says P(FjE) = P(E\F)=P(E) so P(FjE)P(E) = P(E \F) Now P(EjF) = P(E\F)=P(F) = P(FjE)P(E)=P(F) = P(E) by assumption Can do the same for a collection of events Ai are independent if P(Ai 1 \\ Ai k) = P(Ai 1) P(Ai) for distinct ij Example A1 rst coin heads, second coin heads, B =even number of headsY = a e^(b x) where a and b are constants The curve that we use to fit data sets is in this form so it is important to understand what happens when a and b are changed Recall that any number or variable when raised to the 0 power is 1 In this case if b or x is 0 then, e^0 = 1 So at the yintercept or x = 0, the function becomes y = a * 1 orR l To what natural class do the following consonants belong?



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