Asked by appy
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.
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.
Answers
Answered by
PsyDAG
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