Nagy_BUS207.920_Ch6

# Nagy_BUS207.920_Ch6 - Chris Nagy BUS207.920 Chapter 6 pages...

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Chris Nagy BUS207.920 10/20/2007 Chapter 6, pages 213 #37 - 69 EOO

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3-218
37 A random variable is a quantitative or qualitative outcome that results from a chance experiment. Proba 41 µ=0(.1) + 1(.2) + 2(.3) + 3(.4) = 2.00 σ=1 45 a 0 b 0 49 a µ=20(0.075)=1.5 σ= √[20(0.075)(0.925)]=1.1779 b 0.21 c 0.79 53 P(2)= (15)(6)/210=0.4286 57 a P(1)=(21)(3)/120=.5250 b P(0)=(35)(1)/120=.2917 P(X≥1)=1 - P(0) = - .2917 = .7083

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Unformatted text preview: 61 a 0.05 b 0.77 65 a b c 1-0.0450=0.9550 69 µ=n(pi)=155(1/3709)=0.042 very unlikely σ 2 =(0-2) 2 (.1)+….+(3-2) 2 (.40)1.0 [(3.1) 4 e-3.1 ]/4!=0.1733 [(3.1) e-3.1 ]/0!=0.0450 P(5) = 0.042 5 e-0.042 /5! = 0.000000001 ability distributions also include the likelihood of each possible outcome...
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• Fall '07
• RHINE,S
• Business, Probability distribution, probability density function, Prime number, Probability space, Chris Nagy

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