If we collect a large sample of blood platelet counts and if our sample includes a single outlier, how will that outlier appear in a histogram?

a. the outlier will appear as a tall bar near one side of the distribution.
b. since a histogram shows frequencies, not individual data values, the outlier will not appear. instead, the outlier increases the frequency for its class by 1
c. the outlier will appear as the tallest bar near the center of the distribution
d. the outlier will appear as a bar far from all of the other bars with a height that corresponds to a frequency of 1.

D. The outlier will appear as a bar far from all of the other bars with a height that corresponds to a frequency of 1.

Step-by-step explanation:

An histogram measures how many times each value appears in the set we are studying. That is, it is a frequency measure.

Suppose we have the following set:

S = {1,1,1,1,1,1, 2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3,3,4,4,4,4,4,4,4,4,5,5,5,5,5,5,100}

1 appears 6 times. That means that when the X axis is 1, the y axis is 6.

2 appears 8 times. The means that when the X axis is 2, the y axis is 8.

...

100 appears 1 time. This means that when the X axis is 100, the y axis is 1. The X is the outlier, and it is quite far from the other values.

So the correct answer is:

D. The outlier will appear as a bar far from all of the other bars with a height that corresponds to a frequency of 1.