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Select the outlier in the data set.\newline57,67,69,73,76,79,82,90,53157, 67, 69, 73, 76, 79, 82, 90, 531

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Q. Select the outlier in the data set.\newline57,67,69,73,76,79,82,90,53157, 67, 69, 73, 76, 79, 82, 90, 531
  1. Identify Outlier: List the data set and observe the values to identify any number that seems significantly different from the others.\newlineData set: 57,67,69,73,76,79,82,90,53157, 67, 69, 73, 76, 79, 82, 90, 531\newlineBy observation, 531531 seems much larger than all other values in the data set.
  2. Calculate Range and IQR: Calculate the range and the interquartile range (IQR) of the data set to determine the outlier formally. However, since the data set is small and one number is significantly larger than the rest, we can identify the outlier without detailed calculations.\newline531531 is much larger than the next highest number, 9090, indicating that it is an outlier.
  3. Confirm Outlier: Confirm that 531531 is an outlier by comparing it to the rest of the data set. All other numbers are within a close range of each other (5757 to 9090), while 531531 is significantly higher.\newline531531 is the outlier.

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