Important effect of removing the outlier

Reference no: EM1386943

A good way to judge the effect of an outlier is to do your analysis twice, once with the outlier and a second time without it. The data in Exercise 18.32 follow a Normal distribution quite closely except for one patient with HAV angle 50 degrees, a high outlier.

a) Find the 95% confidence interval for the population mean based on the 37 patients who remain after you drop the outlier.

b) Compare your interval in (a) with your interval from Exercise 18.32. What is the most important effect of removing the outlier?

Reference no: EM1386943

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