At EM Industries a certain machine fills 2-pound (32 ounces) boxes with cereal.  The machine’s actual fill amount for the 2-pound box is found to have an average of 31.9 ounces and standard deviation of 0.40 ounces.  If a box has at least 31.5 ounces of cereal, it considered “acceptable” by the government office of food product regulation.  If a box has more than 32.5 ounces of cereal, it is considered “over-filled” by operations managers at EM Industries.   a)  What is the probability that a randomly filled box is “acceptable”?  What is the probability that a randomly selected box is both, at the same time, “acceptable” and NOT “over-filled”?   b) To monitor the current performance of the box filling process, Mo Nerdstat, quality control manager, decides to measure 20 boxes an hour and track this average performance measure over time.  Develop 3-sigma limits for the current average process and draw the associated averages control chart.

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At EM Industries a certain machine fills 2-pound (32 ounces) boxes with cereal.  The machine’s actual fill amount for the 2-pound box is found to have an average of 31.9 ounces and standard deviation of 0.40 ounces.  If a box has at least 31.5 ounces of cereal, it considered “acceptable” by the government office of food product regulation.  If a box has more than 32.5 ounces of cereal, it is considered “over-filled” by operations managers at EM Industries.  

a)  What is the probability that a randomly filled box is “acceptable”?  What is the probability that a randomly selected box is both, at the same time, “acceptable” and NOT “over-filled”?

 

b) To monitor the current performance of the box filling process, Mo Nerdstat, quality control manager, decides to measure 20 boxes an hour and track this average performance measure over time.  Develop 3-sigma limits for the current average process and draw the associated averages control chart.  

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