MINITAB Handout Normal Distribution

MINITAB Handout Normal Distribution - MTB > cdf 35 k1;...

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MINITAB Handout for Normal Distribution 1. Blackboard Lecture Notes, Slides61-62: Example Question a): (cumulative normal probability, i.e., P(X < x)) MTB > cdf 32 k1; SUBC> norm 43.5 10.5. MTB > print k1 Data Display K1 0.136706 Question b): (complementary cumulative normal probability, i.e., P(X > x)) MTB > cdf 60 k1; SUBC> norm 43.5 10.5. MTB > let k2=1-k1 MTB > print k2 Data Display K2 0.0580416 Question c): (in-between cumulative normal probability, i.e., P(x < X < y))
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Unformatted text preview: MTB > cdf 35 k1; SUBC> norm 43.5 10.5. MTB > cdf 55 k2; SUBC> norm 43.5 10.5. MTB > let k3=k2-k1 MTB > print k3 Data Display K3 0.654187 Question e): (inverse cumulative normal probability) MTB > invcdf .25 k1; SUBC> norm 43.5 10.5. MTB > print k1 Data Display K1 36.4179 Question f): (inverse cumulative normal probability) MTB > invcdf .95 k1; SUBC> norm 43.5 10.5. MTB > print k1 Data Display K1 60.7710...
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This note was uploaded on 10/15/2008 for the course STAT 250 taught by Professor Sims during the Fall '08 term at George Mason.

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