Select the outlier in the data set. 1, 53, 61, 65, 66, 68, 76, 86

Identify data set: Identify the data set and understand what an outlier is. An outlier is a data point that is significantly different from the rest of the data. It can be much higher or much lower than the other values in the set. Data set: 1, 53, 61, 65, 66, 68, 76, 86Find outlier: Look for any value that seems significantly different from the rest of the data. By inspection, the number 1 stands out as being much lower than all other values in the data set.Confirm outlier: Determine if the value identified is indeed an outlier. To confirm if 1 is an outlier, we can compare it to the rest of the data. The gap between 1 and 53 is 52 units, while the gaps between the other consecutive numbers are much smaller. This large gap suggests that 1 is an outlier.Conclude outlier: Conclude which number is the outlier. Based on the significant difference in value, we can conclude that 1 is the outlier in the data set.

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Select the outlier in the data set. $\newline$ $1, 53, 61, 65, 66, 68, 76, 86$

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Q. Select the outlier in the data set.

\newline

1, 53, 61, 65, 66, 68, 76, 86

Identify data set: Identify the data set and understand what an outlier is. An outlier is a data point that is significantly different from the rest of the data. It can be much higher or much lower than the other values in the set. Data set: $1, 53, 61, 65, 66, 68, 76, 86$
Find outlier: Look for any value that seems significantly different from the rest of the data. $\newline$ By inspection, the number $1$ stands out as being much lower than all other values in the data set.
Confirm outlier: Determine if the value identified is indeed an outlier. $\newline$ To confirm if $1$ is an outlier, we can compare it to the rest of the data. The gap between $1$ and $53$ is $52$ units, while the gaps between the other consecutive numbers are much smaller. This large gap suggests that $1$ is an outlier.
Conclude outlier: Conclude which number is the outlier. $\newline$ Based on the significant difference in value, we can conclude that $1$ is the outlier in the data set.