Select the outlier in the data set. 7, 53, 69, 71, 72, 75, 79, 89

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 significantly different from the others. Data set: 7, 53, 69, 71, 72, 75, 79, 89Observe Data Set: By observing the data set, we can see that the number 7 is much smaller than all the other numbers. The rest of the numbers are all above 50, which makes 7 stand out as a potential outlier.Confirm Outlier: To confirm that 7 is an outlier, we can calculate the mean and standard deviation of the data set and then determine if 7 falls far outside the range of the other values. However, in this case, since 7 is so far from the rest of the numbers and there is no other number that is comparably low, we can reasonably conclude that 7 is the outlier without further calculations.

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Select the outlier in the data set. $\newline$ $7, 53, 69, 71, 72, 75, 79, 89$

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Grade 7

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Q. Select the outlier in the data set.

\newline

7, 53, 69, 71, 72, 75, 79, 89

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 significantly different from the others. $\newline$ Data set: $7, 53, 69, 71, 72, 75, 79, 89$
Observe Data Set: By observing the data set, we can see that the number $7$ is much smaller than all the other numbers. The rest of the numbers are all above $50$ , which makes $7$ stand out as a potential outlier.
Confirm Outlier: To confirm that $7$ is an outlier, we can calculate the mean and standard deviation of the data set and then determine if $7$ falls far outside the range of the other values. However, in this case, since $7$ is so far from the rest of the numbers and there is no other number that is comparably low, we can reasonably conclude that $7$ is the outlier without further calculations.