Samples of Size 20 Samples of Size 50 400 300 300 200 200 100 100 0.5 1.0 0.65 1.00 Sample Proportions Sample Proportions Samples of Size 75 Samples of Size 100 250 6. 200 200 150 150 100 100 50 50 0.65 Sample Proportions 1.00 0.75 0.85 0.95 Sample Proportions Number of Samples Number of Samples Number of Samples Number of Samples

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Character recognition An automatic character recogni-
tion device can successfully read about 85% of hand-
written credit card applications. To estimate what might
happen when this device reads a stack of applications, the
company did a simulation using samples of size 20, 50,
75, and 100. For each sample size, they simulated 1000
samples with success rate p = 0.85 and constructed the
histogram of the 1000 sample proportions, shown here.
Explain how these four histograms demonstrate what the
Central Limit Theorem says about the sampling distribu-
tion model for sample proportions. Be sure to talk about
shape, center, and spread.
Samples of Size 20
Samples of Size 50
400
300
300
200
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100
100
0.5
1.0
0.65
1.00
Sample Proportions
Sample Proportions
Samples of Size 75
Samples of Size 100
250
6.
200
200
150
150
100
100
50
50
0.65
Sample Proportions
1.00
0.75
0.85
0.95
Sample Proportions
Number of Samples
Number of Samples
Number of Samples
Number of Samples
Transcribed Image Text:Samples of Size 20 Samples of Size 50 400 300 300 200 200 100 100 0.5 1.0 0.65 1.00 Sample Proportions Sample Proportions Samples of Size 75 Samples of Size 100 250 6. 200 200 150 150 100 100 50 50 0.65 Sample Proportions 1.00 0.75 0.85 0.95 Sample Proportions Number of Samples Number of Samples Number of Samples Number of Samples
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