The Ball Corporation's beverage can manufacturing plant in Fort Atkinson, Wisconsin, uses a metal supplier that provides metal with a known thickness standard deviation o=000507 mm. Assume a random sample of 53 sheets of metal resulted in an = 3333 mm. Calculate the 90 percent confidence interval for the true mean metal thickness. (Round your answers to 4 decimal places.) The 90% confidence interval is from to
The Ball Corporation's beverage can manufacturing plant in Fort Atkinson, Wisconsin, uses a metal supplier that provides metal with a known thickness standard deviation o=000507 mm. Assume a random sample of 53 sheets of metal resulted in an = 3333 mm. Calculate the 90 percent confidence interval for the true mean metal thickness. (Round your answers to 4 decimal places.) The 90% confidence interval is from to
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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
Transcribed Image Text:The Ball Corporation's beverage can manufacturing plant in Fort Atkinson, Wisconsin, uses a metal supplier that provides metal with a
known thickness standard deviation = .000507 mm. Assume a random sample of 53 sheets of metal resulted in an = .3333 mm.
Calculate the 90 percent confidence interval for the true mean metal thickness. (Round your answers to 4 decimal places.)
The 90% confidence interval is from
to
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Step 1
Confidence Interval | Z Value |
80% | 1.282 |
85% | 1.440 |
90% | 1.645 |
95% | 1.960 |
99% | 2.576 |
99.5% | 2.807 |
99.9% | 3.291 |
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