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You have joined a company that makes electric hand tools. You are working on a new process to reduce the scrap of the sabre saw.

You have joined a company that makes electric hand tools. You are working on a new process to reduce the scrap of the sabre saw. Before the implementation you studied 35 days of defective units and found the mean to be 68.5 saws scrapped per day with a standard deviation of 16.1 saws. Call this sampling period M2 and population 2. After the improvement you sample for 20 days and find a mean of 60.5 saws scrapped per day and a standard deviation of 17.5 saws. Call this period M1 and population 1. In all periods the product output for the saw was fairly constant. Given you moved the average number of saws scrapped per day from 68.5 to 60.5 you are delighted. You are very happy, but your boss asks, if this is enough improvement to say "the team really improved the fallout for bad saws." The boss is pretty smart. He said, "Give me a hypothesis test with a 5% significance level." Call your first set of 35 M2 and your second set of 20 days M1. (Hint: Followsis test was set with Ho: mu1-mu2 = 0 and H1: mu1-mu2 < 0. M1 are after and M2 are

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