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Probability and Randomness: Parts a Million

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As a quality engineer working on the Parts a Million production line, you have determined that the probability of producing a defective part is 6%. You want to develop a plan to monitor the quality of this line. Your idea is to take a sample of 20 parts every hour and determine the number of defectives. How many defectives do you need to find (or more) in a sample of 20 so that you will shut down the line. You want to be 95% sure that there is a real problem beyond random noise before you shut down the line.

Excel's binomial function can help... what you did to solve it?

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Solution Summary

This solution provides assistance with the problems related to probability and randomness for Parts a Million production line.

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The number of samples is 20.

The probability of failure (producing a defective part) is 0.06. Thus, the probability of a success is 1 - 0.06, or 0.94.

A binomial probability refers to the probability of getting EXACTLY n successes in a specific number of trials.

Cumulative binomial probability refers to the probability that the value of a binomial random variable falls within a specified range.

Suppose a binomial experiment consists of n trials and results in x successes. If the probability of ...

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