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Select the outlier in the data set. \newline52,60,66,67,69,70,72,76,81452, 60, 66, 67, 69, 70, 72, 76, 814

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Q. Select the outlier in the data set. \newline52,60,66,67,69,70,72,76,81452, 60, 66, 67, 69, 70, 72, 76, 814
  1. Identify Data Set: Identify the data set and look for any numbers that seem significantly different from the others.\newlineData set: 52,60,66,67,69,70,72,76,81452, 60, 66, 67, 69, 70, 72, 76, 814\newlineAt first glance, the number 814814 seems much larger than the rest of the numbers in the data set.
  2. Calculate Mean Without Outlier: Calculate the mean (average) of the data set without the suspected outlier to see if 814814 is significantly different.\newlineMean =(52+60+66+67+69+70+72+76)/8= (52 + 60 + 66 + 67 + 69 + 70 + 72 + 76) / 8\newlineMean =532/8= 532 / 8\newlineMean =66.5= 66.5
  3. Compare Outlier to Mean: Compare the suspected outlier to the mean. The number 814814 is much larger than the mean of 66.566.5.
  4. Determine Outlier Status: Determine if the suspected outlier is indeed an outlier. An outlier is typically a number that is significantly higher or lower than the rest of the data set. In this case, 814814 is significantly higher than all other numbers and the calculated mean.

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