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Select the outlier in the data set.\newline3,80,82,83,84,85,87,89,953, 80, 82, 83, 84, 85, 87, 89, 95

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Q. Select the outlier in the data set.\newline3,80,82,83,84,85,87,89,953, 80, 82, 83, 84, 85, 87, 89, 95
  1. 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 much different from the others.\newlineLooking at the data set: 3,80,82,83,84,85,87,89,953, 80, 82, 83, 84, 85, 87, 89, 95, we can see that the number 33 is much smaller than all the other numbers, which are all 8080 or higher.
  2. Confirm Outlier: To confirm that 33 is an outlier, we can calculate the mean and standard deviation of the data set and then determine if 33 falls far outside the range of the other values. However, in this case, since 33 is significantly lower than all other values which are closely grouped together, it is clear that 33 is the outlier without further calculations.

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