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Select the outlier in the data set.\newline6,75,77,84,86,93,97,996, 75, 77, 84, 86, 93, 97, 99\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.\newline6,75,77,84,86,93,97,996, 75, 77, 84, 86, 93, 97, 99\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.\newlineThe data set is: 6,75,77,84,86,93,97,996, 75, 77, 84, 86, 93, 97, 99.\newlineAn outlier is a data point that is significantly different from the rest of the data. We can visually inspect the data set and see that the number 66 is much smaller than all the other numbers.
  2. Calculate Mean with Outlier: Calculate the mean of the data set with the outlier included.\newlineMean = (6+75+77+84+86+93+97+99)/8(6 + 75 + 77 + 84 + 86 + 93 + 97 + 99) / 8\newlineMean = (617)/8(617) / 8\newlineMean = 77.12577.125
  3. Calculate Mean without Outlier: Calculate the mean of the data set without the outlier.\newlineMean without outlier = (75+77+84+86+93+97+99)/7(75 + 77 + 84 + 86 + 93 + 97 + 99) / 7\newlineMean without outlier = (611)/7(611) / 7\newlineMean without outlier = 87.285787.2857 (rounded to four decimal places)
  4. Compare Mean Difference: Compare the two means to determine if the mean would increase or decrease with the removal of the outlier. The mean with the outlier is 77.12577.125, and the mean without the outlier is 87.285787.2857. Since the mean without the outlier is greater, removing the outlier would increase the mean.

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