Select the outlier in the data set. 9, 69, 79, 80, 81, 93, 97, 99

Identify Outlier: To identify the outlier in the data set, we first need to look at the numbers and see if there is a value that is significantly different from the others. The data set is: 9, 69, 79, 80, 81, 93, 97, 99.Observe Data Set: By observing the data set, we can see that the number 9 is much smaller than all the other numbers, which are all close to each other and within the range of 69 to 99. This suggests that 9 is the outlier.Confirm Outlier: To confirm that 9 is the outlier, we can calculate the mean of the data set without the suspected outlier and compare it to the mean with the outlier included. However, since the difference between 9 and the other numbers is so large, it is clear that 9 is the outlier without needing to do any calculations.

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Select the outlier in the data set. $\newline$ $9, 69, 79, 80, 81, 93, 97, 99$

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Q. Select the outlier in the data set.

\newline

9, 69, 79, 80, 81, 93, 97, 99

Identify Outlier: To identify the outlier in the data set, we first need to look at the numbers and see if there is a value that is significantly different from the others. The data set is: $9, 69, 79, 80, 81, 93, 97, 99$ .
Observe Data Set: By observing the data set, we can see that the number $9$ is much smaller than all the other numbers, which are all close to each other and within the range of $69$ to $99$ . This suggests that $9$ is the outlier.
Confirm Outlier: To confirm that $9$ is the outlier, we can calculate the mean of the data set without the suspected outlier and compare it to the mean with the outlier included. However, since the difference between $9$ and the other numbers is so large, it is clear that $9$ is the outlier without needing to do any calculations.