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Select the outlier in the data set.\newline5,40,42,44,45,50,52,595, 40, 42, 44, 45, 50, 52, 59

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Q. Select the outlier in the data set.\newline5,40,42,44,45,50,52,595, 40, 42, 44, 45, 50, 52, 59
  1. Inspect Data Set: First, we need to look at the data set and determine if there is a number that is significantly different from the others.\newlineData set: 5,40,42,44,45,50,52,595, 40, 42, 44, 45, 50, 52, 59
  2. Calculate Range: To identify an outlier, we can calculate the range and see if one number stands out. However, in this case, we can visually inspect the data set and see that the number 55 is much lower than the rest of the numbers, which are all 4040 or higher.
  3. Identify Outlier: An outlier is typically a data point that is significantly higher or lower than the rest of the data points. In this case, 55 is the only number that is not in the 4040s or higher, making it the outlier.

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