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Select the outlier in the data set.\newline9,67,75,78,81,82,88,94,989, 67, 75, 78, 81, 82, 88, 94, 98\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.\newline9,67,75,78,81,82,88,94,989, 67, 75, 78, 81, 82, 88, 94, 98\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 can look for a number that is significantly different from the rest of the numbers in the set. In this case, the number 99 stands out as being much lower than all other numbers.
  2. Calculate Mean with Outlier: Calculate the mean of the data set including the outlier.\newlineTo calculate the mean, add all the numbers together and divide by the total count of numbers.\newlineMean = (9+67+75+78+81+82+88+94+98)/9(9 + 67 + 75 + 78 + 81 + 82 + 88 + 94 + 98) / 9\newlineMean = (672)/9(672) / 9\newlineMean 74.67\approx 74.67
  3. Calculate Mean without Outlier: Calculate the mean of the data set without the outlier.\newlineRemove the outlier 99 and calculate the new mean.\newlineNew Mean = (67+75+78+81+82+88+94+98)/8(67 + 75 + 78 + 81 + 82 + 88 + 94 + 98) / 8\newlineNew Mean = (663)/8(663) / 8\newlineNew Mean 82.88\approx 82.88
  4. Compare Means: Compare the two means to determine if the mean would increase or decrease.\newlineThe original mean with the outlier was approximately 74.6774.67, and the new mean without the outlier is approximately 82.8882.88. Since the new mean is higher, removing the outlier would increase the mean.

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