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?

That outlier will appear as a single blip of data, but it will be far away from the central part of the histogram. It will not be that visible if there is a lot of data, since 1 outlying data point will just show a very low height compared to the central data near the mean/median/mode, where there will be higher frequencies and higher bars of data.

If these are the choices:
A.The outlier will appear as a tall bar near one side of the distribution.
B.The outlier will appear as a bar far from all of the other bars with a height that corresponds to a frequency of 1.
C.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.
D.The outlier will appear as the tallest bar near the center of the distribution.

Then the most accurate answer will be B, since it's just a single value with a bar corresponding to a frequency of 1.

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