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Select the outlier in the data set.\newline3,56,60,61,63,65,68,70,803, 56, 60, 61, 63, 65, 68, 70, 80

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Q. Select the outlier in the data set.\newline3,56,60,61,63,65,68,70,803, 56, 60, 61, 63, 65, 68, 70, 80
  1. Identify data set: Identify the data set and understand what an outlier is.\newlineAn outlier is a data point that is significantly different from the rest of the data. It can be much higher or much lower than the other values in the set.\newlineData set: 3,56,60,61,63,65,68,70,803, 56, 60, 61, 63, 65, 68, 70, 80
  2. Look for outlier: Look for any value that seems significantly different from the rest of the data. By scanning the data set, we can see that the number 33 is much lower than all the other numbers, which are all above 5050.
  3. Determine suspected outlier: Determine if the suspected outlier is indeed an outlier by comparing it to the rest of the data.\newlineThe number 33 is significantly lower than the next lowest number in the set, which is 5656. This large gap suggests that 33 is an outlier.
  4. Confirm no other outliers: Confirm that there are no other outliers in the data set. All other numbers are within a range of 2424 units (from 5656 to 8080), which seems reasonable. Therefore, no other numbers stand out as potential outliers.

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