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Minitab 9 Normal Approximation

# Minitab 9 Normal Approximation - MINITAB Topic 9 Section...

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MINITAB Topic 9: Section 9.3, 9.4 With vs Without the Normal Approximation You will need to add the subcommand : SUBC> usesz; In order to get the normal approximation 1. Blackboard Lecture Notes, Slide 9: Example 1 With the Normal Approximation MTB > pone 500 235; SUBC> usez; SUBC> confidence 99. Output in MINITAB 14: Test and CI for One Proportion Test of p = 0.5 vs p not = 0.5 Sample X N Sample p 99% CI Z-Value P-Value 1 235 500 0.470000 (0.412506, 0.527494) -1.34 0.180 Output in MINITAB 15: Test and CI for One Proportion Sample X N Sample p 99% CI 1 235 500 0.470000 (0.412506, 0.527494) Using the normal approximation. Without the Normal Approximation MTB > pone 500 235; SUBC> confidence 99. Output in MINITAB 14: Test and CI for One Proportion Test of p = 0.5 vs p not = 0.5 Exact Sample X N Sample p 99% CI P-Value 1 235 500 0.470000 (0.412025, 0.528557) 0.195 Output in MINITAB 15: Test and CI for One Proportion Sample X N Sample p 99% CI 1 235 500 0.470000 (0.412025, 0.528557)

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2. Blackboard Lecture Notes, Slide 11: Example 2 MTB > pone c1; SUBC> usez; SUBC> confidence 90. Output in MINITAB 14: Test and CI for One Proportion: Response Test of p = 0.5 vs p not = 0.5 Event = Y Variable X N
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