Select the outlier in the data set. 24, 34, 44, 52, 58, 65, 71, 498

Identify Outlier: List the data set and observe the values to identify any number that seems significantly different from the others. Data set: 24, 34, 44, 52, 58, 65, 71, 498 Looking at the data set, we can see that the numbers are relatively close to each other except for the last number, 498, which is much larger than the rest.Calculate Range and IQR: Calculate the range and the interquartile range (IQR) to determine the outlier formally. However, in this case, since there is a clear difference between 498 and the rest of the numbers, we can identify 498 as the outlier without detailed calculations.Confirm Outlier: Confirm that 498 is an outlier by comparing it to the rest of the data set. All other numbers are within a range of 47 (71 - 24), while 498 is 427 units away from the next closest number, 71.

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Select the outlier in the data set. $\newline$ $24, 34, 44, 52, 58, 65, 71, 498$

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Q. Select the outlier in the data set.

\newline

24, 34, 44, 52, 58, 65, 71, 498

Identify Outlier: List the data set and observe the values to identify any number that seems significantly different from the others. $\newline$ Data set: $24, 34, 44, 52, 58, 65, 71, 498$ $\newline$ Looking at the data set, we can see that the numbers are relatively close to each other except for the last number, $498$ , which is much larger than the rest.
Calculate Range and IQR: Calculate the range and the interquartile range (IQR) to determine the outlier formally. However, in this case, since there is a clear difference between $498$ and the rest of the numbers, we can identify $498$ as the outlier without detailed calculations.
Confirm Outlier: Confirm that $498$ is an outlier by comparing it to the rest of the data set. All other numbers are within a range of $47$ ( $71 - 24$ ), while $498$ is $427$ units away from the next closest number, $71$ .