Emily walks every day, and she keeps a record of the number of miles she walks each day. The histogram and five-number summary below were created from the recorded miles for a random sample of 25 of the days Emily walked. Frequency 10 1 2 3 4 5 6 7 Miles Walked 8 Minimum Q1 Median Q3 Maximum 1.4 2.6 3.25 3.8 7.5 On one of the 25 days in the sample, Emily walked 7.5 miles. From the histogram, it appears that the value 7.5 might be an outlier relative to the other values. Two methods are proposed for identifying an outlier in a set of data. (a) One method for identifying an outlier is to use the interquartile range (IQR). An outlier is any number that is greater than the upper quartile by at least 1.5 times the IQR or less than the lower quartile by at least 1.5 times the IQR. Does such a method identify the value of 7.5 miles as an outlier for Emily's set of data? Justify your answer.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Emily walks every day, and she keeps a record of the number of miles she walks each day. The histogram and
five-number summary below were created from the recorded miles for a random sample of 25 of the days
Emily walked.
Frequency
10
1 2 3 4 5 6 7
Miles Walked
8
Minimum
Q1
Median
Q3
Maximum
1.4
2.6
3.25
3.8
7.5
On one of the 25 days in the sample, Emily walked 7.5 miles. From the histogram, it appears that the value
7.5 might be an outlier relative to the other values. Two methods are proposed for identifying an outlier in a set
of data.
(a) One method for identifying an outlier is to use the interquartile range (IQR). An outlier is any number that is
greater than the upper quartile by at least 1.5 times the IQR or less than the lower quartile by at least
1.5 times the IQR. Does such a method identify the value of 7.5 miles as an outlier for Emily's set of data?
Justify your answer.
Transcribed Image Text:Emily walks every day, and she keeps a record of the number of miles she walks each day. The histogram and five-number summary below were created from the recorded miles for a random sample of 25 of the days Emily walked. Frequency 10 1 2 3 4 5 6 7 Miles Walked 8 Minimum Q1 Median Q3 Maximum 1.4 2.6 3.25 3.8 7.5 On one of the 25 days in the sample, Emily walked 7.5 miles. From the histogram, it appears that the value 7.5 might be an outlier relative to the other values. Two methods are proposed for identifying an outlier in a set of data. (a) One method for identifying an outlier is to use the interquartile range (IQR). An outlier is any number that is greater than the upper quartile by at least 1.5 times the IQR or less than the lower quartile by at least 1.5 times the IQR. Does such a method identify the value of 7.5 miles as an outlier for Emily's set of data? Justify your answer.
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