Select the outlier in the data set. 1, 69, 75, 77, 78, 82, 84, 88, 92

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. The data set is: 1, 69, 75, 77, 78, 82, 84, 88, 92.Observe Data Set: By observing the data set, we can see that the number 1 is significantly lower than all other numbers, which are all between 69 and 92. This suggests that 1 is the outlier in the data set.Confirm Outlier: To confirm that 1 is an outlier, we could calculate the mean and standard deviation of the data set and then determine if 1 falls far outside the range of the other values, typically more than 1.5 to 3 standard deviations from the mean. However, in this case, the difference is so large and obvious that further calculations are not necessary to confirm that 1 is the outlier.

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Select the outlier in the data set. $\newline$ $1, 69, 75, 77, 78, 82, 84, 88, 92$

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Q. Select the outlier in the data set.

\newline

1, 69, 75, 77, 78, 82, 84, 88, 92

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. The data set is: $1, 69, 75, 77, 78, 82, 84, 88, 92$ .
Observe Data Set: By observing the data set, we can see that the number $1$ is significantly lower than all other numbers, which are all between $69$ and $92$ . This suggests that $1$ is the outlier in the data set.
Confirm Outlier: To confirm that $1$ is an outlier, we could calculate the mean and standard deviation of the data set and then determine if $1$ falls far outside the range of the other values, typically more than $1.5$ to $3$ standard deviations from the mean. However, in this case, the difference is so large and obvious that further calculations are not necessary to confirm that $1$ is the outlier.