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L9IntroDiscreteDistributions

# L9IntroDiscreteDistributions - MGT 2250 —— Lesson 9...

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Unformatted text preview: , MGT 2250 —— Lesson 9 Introduction to Discrete Probability Distributions June 9, 2011 Deﬁnition: A discrete probability distribution describes the distribution of all possible values a discrete random variable can assume and the probability of each of these values occurring. These are deﬁned by a probability function denoted [ch arm which provides the probability for each value of the variable. Each of these probabilities must be between “0” and “l” and they must sum up to “1”. Example: Humungous Motors 3 (:2 3:3 QiﬂVj £331: [:i-ij Tia} \$3.???) eﬁj x (# of cars sold) # of days par): ii 5% W , izii a? 5‘ i t .17 3 we , «3) i x" r ”k L“ I {1% XEQN/g (:33 y w if Expected value: 1:37 isq Fﬁﬂ .C}. X <3 Variance and Standard Deviat’ion: EZX) ﬂwﬂaéééﬁw 723 ﬂ MMN EM 1 if? X {45%) *gﬁtﬁ ﬂ . 3‘5? g%? at g mlg’ [I/ "K: h Wm WWW” m” “a j?” r “my mm f {1:} M \k XTCM ﬁé‘ﬁ’ﬁi 7)???” KW f if? «3;; ﬁg ‘25,} . \‘2 ggxthw) gkw v ,2“ f ) ya?” i 35‘ MY M?) {3 m ...
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