Select the outlier in the data set. 2, 55, 57, 60, 63, 64, 65, 67, 68

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: 2, 55, 57, 60, 63, 64, 65, 67, 68Spot outlier: Look at the data set and try to spot any value that seems significantly different from the others. By inspection, the number 2 stands out as being much lower than all the other values, which are all above 50.Confirm outlier: To confirm the outlier, we can calculate the mean and standard deviation of the data set and see if the suspected outlier falls far from the mean compared to the other data points. However, in this case, since the suspected outlier is so far from the rest of the data, a detailed calculation is not necessary. The outlier is clearly the number 2.

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Select the outlier in the data set. $\newline$ $2, 55, 57, 60, 63, 64, 65, 67, 68$

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Q. Select the outlier in the data set.

\newline

2, 55, 57, 60, 63, 64, 65, 67, 68

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: $2, 55, 57, 60, 63, 64, 65, 67, 68$
Spot outlier: Look at the data set and try to spot any value that seems significantly different from the others. $\newline$ By inspection, the number $2$ stands out as being much lower than all the other values, which are all above $50$ .
Confirm outlier: To confirm the outlier, we can calculate the mean and standard deviation of the data set and see if the suspected outlier falls far from the mean compared to the other data points. However, in this case, since the suspected outlier is so far from the rest of the data, a detailed calculation is not necessary. $\newline$ The outlier is clearly the number $2$ .