If we define an "outlier" to be any data point that is beyond 3 standard deviations away from the me
Question: If we define an "outlier" to be any data point that is beyond 3 standard deviations away from the mean, how many outliers should be expected in a group of 40,000 pieces of date? Explain your answer.
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Solution: Find the mean, µ, for the binomial distribution which has the stated values of n and p. Round answer #17045
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[Solution] A sample of the labor costs per hour to assemble a certain product has a mean of $2.60 and a standar #18392
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