11.17 Henderson Corporation makes metal sheets, among other products. When the properly, 92% of the sheets contain no defects, 5% have one defect that is used to make metal sheets works process each, and 3% have two or more defects each. The quality control inspec- tors at the company take samples of metal sheets quite often and check them for defects. If the distribution of defects for a sample is signifi cantly different from the above-mentioned percentage distribution, the process is stopped and adjusted. A recent sample of 300 sheets produced the frequency distribution of defects listed in the following table Number of defects One None Two or More Number of metal sheets 262 24 14 Does the evidence from this sample suggest that the process needs an adjustment? Use a = .01

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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11.17 Henderson Corporation makes metal sheets, among other
products. When the
properly, 92% of the sheets contain no defects, 5% have one defect
that is used to make metal sheets works
process
Transcribed Image Text:11.17 Henderson Corporation makes metal sheets, among other products. When the properly, 92% of the sheets contain no defects, 5% have one defect that is used to make metal sheets works process
each, and 3% have two or more defects each. The quality control inspec-
tors at the company take samples of metal sheets quite often and check
them for defects. If the distribution of defects for a sample is signifi
cantly different from the above-mentioned percentage distribution, the
process is stopped and adjusted. A recent sample of 300 sheets produced
the frequency distribution of defects listed in the following table
Number of defects
One
None
Two or More
Number of metal sheets
262
24
14
Does the evidence from this sample suggest that the process needs an
adjustment? Use a = .01
Transcribed Image Text:each, and 3% have two or more defects each. The quality control inspec- tors at the company take samples of metal sheets quite often and check them for defects. If the distribution of defects for a sample is signifi cantly different from the above-mentioned percentage distribution, the process is stopped and adjusted. A recent sample of 300 sheets produced the frequency distribution of defects listed in the following table Number of defects One None Two or More Number of metal sheets 262 24 14 Does the evidence from this sample suggest that the process needs an adjustment? Use a = .01
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