The Jamestown Steel Company manufactures and assembles desks and other office equipment at several plants. The weekly production of the Model A325 desk follows a normal probability distribution, with a mean of 200 and a standard deviation of 16. Recently, due to market expansion, new production methods have been introduced and new employees hired. The vice president of manufacturing would like to investigate whether there has been a change in the weekly production of the Model A325 desk. To put it another way, is the mean number of desks produced different from 200 at the 0.01 significance level?   If the VP took a sample of new production, where he took the data for 50 weeks and found the average production to be 203.5 desks, what would you conclude?

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The Jamestown Steel Company manufactures and assembles desks and other office equipment at several plants. The weekly production of the Model A325 desk follows a normal probability distribution, with a mean of 200 and a standard deviation of 16. Recently, due to market expansion, new production methods have been introduced and new employees hired. The vice president of manufacturing would like to investigate whether there has been a change in the weekly production of the Model A325 desk. To put it another way, is the mean number of desks produced different from 200 at the 0.01 significance level?

 

If the VP took a sample of new production, where he took the data for 50 weeks and found the average production to be 203.5 desks, what would you conclude?

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