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? Choose the correct answer below. O A. The outlier will appear as a bar far from all of the other bars with a height that corresponds to a frequency of 1. O B. The outlier will appear as the tallest bar near the center of the distribution. O 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. O D. The outlier will appear as a tall bar near one side of the distribution.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 26PFA
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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?
Choose the correct answer below.
C
O A. The outlier will appear as a bar far from all of the other bars with a height that corresponds to a frequency of 1.
O B. The outlier will appear as the tallest bar near the center of the distribution.
O 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.
O D. The outlier will appear as a tall bar near one side of the distribution.
Transcribed Image Text: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? Choose the correct answer below. C O A. The outlier will appear as a bar far from all of the other bars with a height that corresponds to a frequency of 1. O B. The outlier will appear as the tallest bar near the center of the distribution. O 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. O D. The outlier will appear as a tall bar near one side of the distribution.
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