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Your organization purchases bottles of a popular commercial solvent for resale. Each bottle is labeled as containing 32 fluid ounces of the solvent. Your contract specifies that each bottle must contain 32 ± .125 ounces of the specified solvent. Recently, you have noticed that some bottles appear to be out of specification. Obviously, the most significant problem is bottles do not contain at least 31.875 ounces of solvent. The results of a study of the bottle-filling process indicate an average of 31.995 ounces of solvent in each bottle with a standard deviation of approximately .075 ounces. Based on this information, what proportion of filled bottles are out of specification?
The calculations of arithmetic mean may be simple and foolproof, but the application of the result may not be so foolproof. An arithmetic mean may not merely lack
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What would be the cutoff score to indicate a score that is in the top 15% of the scores on a test with a mean of 100 and a standard deviation of 15? This question has multiple p
Examples of grouped, simple and frequency distribution data
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Risk of Portfolios So far, we have seen the application of standard deviation in the context of risk in single investment. But usually most investors hold portfolios of securi
#question what is the statistical process to reduce hardness of water
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