Select the outlier in the data set. 5, 64, 74, 79, 84, 85, 91, 97

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 much different from the others. Data set: 5, 64, 74, 79, 84, 85, 91, 97Observe Numbers: 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 60s, 70s, 80s, and 90s, which suggests that 5 could be the outlier.Confirm Outlier: To confirm that 5 is the outlier, we can calculate the mean of the data set and then find the standard deviation. However, in this case, since 5 is significantly lower than all other values which are relatively close to each other, it is clear that 5 is the outlier without further calculations.

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Select the outlier in the data set. $\newline$ $5, 64, 74, 79, 84, 85, 91, 97$

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Q. Select the outlier in the data set.

\newline

5, 64, 74, 79, 84, 85, 91, 97

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 much different from the others. $\newline$ Data set: $5, 64, 74, 79, 84, 85, 91, 97$
Observe Numbers: 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 $60$ s, $70$ s, $80$ s, and $90$ s, which suggests that $5$ could be the outlier.
Confirm Outlier: To confirm that $5$ is the outlier, we can calculate the mean of the data set and then find the standard deviation. However, in this case, since $5$ is significantly lower than all other values which are relatively close to each other, it is clear that $5$ is the outlier without further calculations.