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Unformatted text preview: MTB > sum c6 Sum of sqr(xmean)*P(X=x) Sum of sqr(xmean)*P(X=x) = 2.45 MTB > #So 2.45 is the variance MTB > #to find the standard deviation, do the following command MTB > let k1 = sqrt(2.45) MTB > print k1 Data Display K1 1.56525 MTB > #k1 is the standard deviation The Binomial Distribution with parameters n and p MTB > #Working with the Binomial Distribution where n=7 and p = .55 MTB > #We are going to look for the pdf P(X=x) this is the command pdf; binomial n p. MTB > pdf; SUBC> binomial 7 0.55. Probability Density Function Binomial with n = 7 and p = 0.55 x P( X = x ) 0 0.003737 1 0.031969 2 0.117221 3 0.238785 4 0.291848 5 0.214022 6 0.087194 7 0.015224 MTB > #Here is the command for the cdf P(X<=x) MTB > #cdf; MTB > #binomial n p. MTB > cdf; SUBC> binomial 7 .55. Cumulative Distribution Function Binomial with n = 7 and p = 0.55 x P( X <= x ) 0 0.00374 1 0.03571 2 0.15293 3 0.39171 4 0.68356 5 0.89758 6 0.98478 7 1.00000...
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 Spring '08
 sims
 Binomial, Normal Distribution, Probability, Standard Deviation, Probability distribution, Probability theory, Cumulative distribution function, #Now

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