MINITAB Handout Sampling Distribution of the Sample Mean

MINITAB Handout Sampling Distribution of the Sample Mean -...

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MINITAB Handout for Sampling Distribution of the Sample Mean 1. Blackboard Lecture Notes, Slide 23: Example Question 3: (cumulative probability for the sample mean, i.e., P( x < x)) MTB > let k1=21.25/sqrt(30) MTB > cdf 75 k2; SUBC> norm 85 k1. MTB > print k2 Data Display K2 0.00497564 Question 4: (complement cumulative probability for the sample mean, i.e., P( x > x)) MTB > let k1=21.25/sqrt(30) MTB > cdf 100 k2; SUBC> norm 85 k1. MTB > let k3=1-k2 MTB > print k3 Data Display K3 0.000055255 Question 5: (in-between cumulative probability for the sample mean, i.e., P( x < x < y )) MTB > let k1=21.25/sqrt(30)
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Unformatted text preview: MTB > cdf 75 k2; SUBC> norm 85 k1. MTB > cdf 90 k3; SUBC> norm 85 k1. MTB > let k4=k3-k2 MTB > print k4 Data Display K4 0.896283 2. Blackboard Lecture Notes, Slide 32: Example Question a: (cumulative probability for the sample proportion, i.e., P( p ˆ < x)) MTB > let k1=sqrt(.8*(1-.8)/100) MTB > cdf .75 k2; SUBC> norm .8 k1. MTB > print k2 Data Display K2 0.105650 Question b: (complement cumulative probability for the sample proportion, i.e., P( p ˆ > x)) MTB > let k1=sqrt(.8*(1-.8)/100) MTB > cdf .90 k2; SUBC> norm .8 k1. MTB > let k3=1-k2 MTB > print k3 Data Display K3 0.00620967...
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