The following data are the distances between 50 retail stores and a large distribution center. The distances are in miles. 106, 108, 113, 118, 119, 126, 130, 134, 141, 144, 145, 147, 151, 153, 155, 157, 160, 161, 162, 168, 169, 170, 170, 171, 171, 172, 175, 177, 177, 182, 183, 184, 185, 192, 193, 194, 194, 197, 198, 198, 199, 200, 202, 206, 206, 207, 207, 208, 222, 241 Find the sample mean of the data: x= 170.96 miles Find the sample standard deviation of the data: S%=31.250769786437 V miles Find any outliers in the data. If there are multiple outliers, separate them with a comma. If the data has no outliers, select "No Outliers." O Outliers: O No Outliers

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter10: Statistics
Section10.5: Comparing Sets Of Data
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The following data are the distances between 50 retail stores and a large distribution center. The
distances are in miles.
106, 108, 113, 118, 119, 126, 130, 134, 141, 144, 145, 147, 151, 153, 155, 157, 160, 161, 162, 168, 169,
170, 170, 171, 171, 172, 175, 177, 177, 182, 183, 184, 185, 192, 193, 194, 194, 197, 198, 198, 199, 200,
202, 206, 206, 207, 207, 208, 222, 241
Find the sample mean of the data:
X = 170.96
miles
Find the sample standard deviation of the data:
S=31.250769786437
V miles
Find any outliers in the data. If there are multiple outliers, separate them with a comma. If the data
has no outliers, select "No Outliers."
Outliers:
O No Outliers
Question Help: D Post to forum
Transcribed Image Text:The following data are the distances between 50 retail stores and a large distribution center. The distances are in miles. 106, 108, 113, 118, 119, 126, 130, 134, 141, 144, 145, 147, 151, 153, 155, 157, 160, 161, 162, 168, 169, 170, 170, 171, 171, 172, 175, 177, 177, 182, 183, 184, 185, 192, 193, 194, 194, 197, 198, 198, 199, 200, 202, 206, 206, 207, 207, 208, 222, 241 Find the sample mean of the data: X = 170.96 miles Find the sample standard deviation of the data: S=31.250769786437 V miles Find any outliers in the data. If there are multiple outliers, separate them with a comma. If the data has no outliers, select "No Outliers." Outliers: O No Outliers Question Help: D Post to forum
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An outlier is an observation that lies abnormally from other values in a random sample from a population. They can be very large or small which affects the mean and variance of the data.

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