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Select the outlier in the data set.\newline7,75,77,78,83,84,92,977, 75, 77, 78, 83, 84, 92, 97\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.\newline7,75,77,78,83,84,92,977, 75, 77, 78, 83, 84, 92, 97\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 given data set: 7,75,77,78,83,84,92,977, 75, 77, 78, 83, 84, 92, 97. An outlier is a data point that is significantly different from the rest of the data. We can often spot an outlier by looking for a number that is much smaller or larger than the rest. In this case, 77 is much smaller than all other numbers in the set, so it is the outlier.
  2. Calculate Mean with Outlier: Calculate the mean of the data set with the outlier included.\newlineTo find the mean, add all the numbers together and divide by the number of data points.\newlineMean = (7+75+77+78+83+84+92+97)/8(7 + 75 + 77 + 78 + 83 + 84 + 92 + 97) / 8\newlineMean = (583)/8(583) / 8\newlineMean = 72.87572.875
  3. Calculate Mean without Outlier: Calculate the mean of the data set without the outlier.\newlineRemove 77 from the data set and calculate the new mean.\newlineNew Mean = (75+77+78+83+84+92+97)/7(75 + 77 + 78 + 83 + 84 + 92 + 97) / 7\newlineNew Mean = (586)/7(586) / 7\newlineNew Mean = 83.714285714383.7142857143
  4. Compare Mean Changes: Compare the two means to determine if the mean would increase or decrease with the removal of the outlier. The original mean with the outlier was 72.87572.875, and the new mean without the outlier is 83.714285714383.7142857143. Since the new mean is higher than the original mean, the mean would increase if the outlier were removed.

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