Currently, 25 cent coins are minted with weights that have a mean of 5,670 g and a standard deviation of 0.062 g. New equipment is being tested with the intention of improving quality by reducing variation. A simple random sample of 24 coins minted with the new equipment is obtained; The sample has a standard deviation of 0.049g. Use the sample results to construct an estimate of the 95% confidence interval for the population standard deviation, which is the standard deviation of the weights of the 25-cent coins minted with the new equipment. Based on the confidence interval, does the new equipment appear to produce a clearly smaller standard deviation than the 0.062 g standard deviation of the old equipment? Based on the results, does it appear that the new equipment serves to reduce the variation in weights?

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Currently, 25 cent coins are minted with weights that have a mean of 5,670 g and a standard deviation of 0.062 g. New equipment is being tested with the intention of improving quality by reducing variation. A simple random sample of 24 coins minted with the new equipment is obtained; The sample has a standard deviation of 0.049g. Use the sample results to construct an estimate of the 95% confidence interval for the population standard deviation, which is the standard deviation of the weights of the 25-cent coins minted with the new equipment. Based on the confidence interval, does the new equipment appear to produce a clearly smaller standard deviation than the 0.062 g standard deviation of the old equipment? Based on the results, does it appear that the new equipment serves to reduce the variation in weights?

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