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Select the outlier in the data set.\newline76,83,87,89,94,96,98,62076, 83, 87, 89, 94, 96, 98, 620\newlineIf the outlier were removed from the data set, would the mean increase or decrease?\newlineChoices:\newline(A)increase\newline(B)decrease

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Q. Select the outlier in the data set.\newline76,83,87,89,94,96,98,62076, 83, 87, 89, 94, 96, 98, 620\newlineIf the outlier were removed from the data set, would the mean increase or decrease?\newlineChoices:\newline(A)increase\newline(B)decrease
  1. Identify Outlier: Identify the outlier in the data set.\newlineTo find the outlier, we look for a number that is significantly different from the rest of the numbers in the data set. The numbers are 7676, 8383, 8787, 8989, 9494, 9696, 9898, 620620. It is clear that 620620 is much larger than all other numbers, which are all below 100100.
  2. Determine Outlier: Determine if 620620 is an outlier. An outlier is a value that is significantly higher or lower than the other values in a data set. In this case, 620620 is much higher than the rest of the values, which are all clustered below 100100. Therefore, 620620 is the outlier.
  3. Calculate Mean with Outlier: Calculate the mean of the data set with the outlier.\newlineTo find the mean, add all the numbers together and divide by the number of values. The sum of the numbers is 76+83+87+89+94+96+98+620=124376 + 83 + 87 + 89 + 94 + 96 + 98 + 620 = 1243. There are 88 numbers in total.\newlineMean with outlier = 12438=155.375\frac{1243}{8} = 155.375
  4. Calculate Mean without Outlier: Calculate the mean of the data set without the outlier.\newlineTo find the new mean, subtract the outlier from the sum of the data set and divide by the new number of values 77 instead of 88. The new sum is 1243620=6231243 - 620 = 623.\newlineMean without outlier = 623788.99\frac{623}{7} \approx 88.99
  5. Compare Means: Compare the means to determine if the mean would increase or decrease.\newlineThe original mean with the outlier was 155.375155.375, and the mean without the outlier is approximately 88.9988.99. Since the mean without the outlier is less than the mean with the outlier, removing the outlier would decrease the mean.

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