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

Question

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.

Answer 1

We do not have access to your data.