Author Question: Does the presence of an outlier in your data set necessarily mean that you cannot use the normal ... (Read 119 times)

audragclark · **on:** Jul 25, 2018

Does the presence of an outlier in your data set necessarily mean that you cannot use the normal model to interpret the data? Explain.

What will be an ideal response?

Question 2

At a tennis tournament a statistician keeps track of every serve. The statistician reported that the mean serve speed of a particular player was 98 miles per hour (mph) and the standard deviation of the serve speeds was 14 mph.

If nothing is known about the shape of the distribution, give an interval that will contain the speeds of at least eight-ninths of the player's serves.
A) 70 mph to 126 mph B) 42 mph to 154 mph
C) 140 mph to 182 mph D) 56 mph to 140 mph

Ptupou85 · **Reply #1 on:** Jul 25, 2018

Answer to Question 1

No. It might be that you can explain why the outlier is there, in which case you can interpret the rest of the data separate from the outlier.

Answer to Question 2

D