Posted by **appy** on Friday, November 2, 2012 at 3:46am.

A leading company chemically treats its product before packaging. The company monitors the weight

of product per hour that each machine treats. An SRS of 90 hours of production data for a particular

machine is collected. The measured variable is in pounds.

(a) Using the data le 'capacity.xls', create a histogram, a boxplot, and a Normal quantile

plot of these data. From inspecting the plots, comment on skewness, Normality, and the presence

of outliers. Is it appropriate to analyze these data using t distribution methods? Explain.

(b) Test whether these data provide evidence that the mean pounds of product treated in

one hour is greater than 33000.

Use a signi cance level of 5% and state your hypotheses, the P-value, and your conclusion.

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