Select the outlier in the data set. 4, 65, 71, 73, 81, 82, 84, 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: 4, 65, 71, 73, 81, 82, 84, 94Observe Data Set: By observing the data set, we can see that the number 4 is much smaller than all the other numbers, which are all above 60. This suggests that 4 is the outlier.Confirm Outlier: To confirm that 4 is an outlier, we could calculate the mean and standard deviation of the data set and then determine if 4 falls far outside the range of the other values. However, in this case, it is not necessary because 4 is clearly much lower than the rest of the numbers, which are relatively close to each other.

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Select the outlier in the data set. $\newline$ $4, 65, 71, 73, 81, 82, 84, 94$

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Q. Select the outlier in the data set.

\newline

4, 65, 71, 73, 81, 82, 84, 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: $4, 65, 71, 73, 81, 82, 84, 94$
Observe Data Set: By observing the data set, we can see that the number $4$ is much smaller than all the other numbers, which are all above $60$ . This suggests that $4$ is the outlier.
Confirm Outlier: To confirm that $4$ is an outlier, we could calculate the mean and standard deviation of the data set and then determine if $4$ falls far outside the range of the other values. However, in this case, it is not necessary because $4$ is clearly much lower than the rest of the numbers, which are relatively close to each other.