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Select the outlier in the data set. \newline38,48,52,54,55,58,70,32938, 48, 52, 54, 55, 58, 70, 329

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Q. Select the outlier in the data set. \newline38,48,52,54,55,58,70,32938, 48, 52, 54, 55, 58, 70, 329
  1. Identify Outlier: List the data set and observe the values to identify any number that appears to be significantly different from the rest.\newlineData set: 38,48,52,54,55,58,70,32938, 48, 52, 54, 55, 58, 70, 329\newlineLooking at the data set, we can see that the number 329329 is much larger than all the other numbers.
  2. Compare with Data: Compare the number 329329 with the rest of the data to determine if it is an outlier.\newlineThe numbers 3838, 4848, 5252, 5454, 5555, 5858, and 7070 are all within a similar range, while 329329 is significantly higher than the rest. This suggests that 329329 is an outlier.
  3. Confirm Outlier: Confirm that 329329 is an outlier by checking if it falls far outside the range of the other numbers in the data set.\newlineThe next highest number after 329329 is 7070, which is 259259 units less than 329329. This confirms that 329329 is an outlier.

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