Select the outlier in the data set. 5, 72, 74, 81, 85, 87, 91, 94

Identify Outlier: To identify the outlier in the data set, we first need to look at the numbers and see if there is one that stands out as being significantly different from the others. Data set: 5, 72, 74, 81, 85, 87, 91, 94Observe Data: We can observe that the number 5 is much smaller than all the other numbers in the set. The rest of the numbers are all in the 70s, 80s, and 90s, which suggests that 5 is the outlier.Confirm Outlier: To confirm that 5 is an outlier, we can calculate the mean and standard deviation of the data set and then determine if 5 falls outside an acceptable range (typically more than 2 standard deviations from the mean). However, in this case, since 5 is so far from the other values, a detailed calculation is not necessary to see that it is the outlier.

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Select the outlier in the data set. $\newline$ $5, 72, 74, 81, 85, 87, 91, 94$

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Q. Select the outlier in the data set.

\newline

5, 72, 74, 81, 85, 87, 91, 94

Identify Outlier: To identify the outlier in the data set, we first need to look at the numbers and see if there is one that stands out as being significantly different from the others. $\newline$ Data set: $5, 72, 74, 81, 85, 87, 91, 94$
Observe Data: We can observe that the number $5$ is much smaller than all the other numbers in the set. The rest of the numbers are all in the $70$ s, $80$ s, and $90$ s, which suggests that $5$ is the outlier.
Confirm Outlier: To confirm that $5$ is an outlier, we can calculate the mean and standard deviation of the data set and then determine if $5$ falls outside an acceptable range (typically more than $2$ standard deviations from the mean). However, in this case, since $5$ is so far from the other values, a detailed calculation is not necessary to see that it is the outlier.