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Select the outlier in the data set.\newline70,80,82,83,84,85,89,91,81270, 80, 82, 83, 84, 85, 89, 91, 812\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.\newline70,80,82,83,84,85,89,91,81270, 80, 82, 83, 84, 85, 89, 91, 812\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: Step 11: Identify the outlier in the data set 70,80,82,83,84,85,89,91,81270, 80, 82, 83, 84, 85, 89, 91, 812. Outliers are numbers that are significantly different from the others in a data set. Here, 812812 stands out as it is much larger than the rest of the numbers.
  2. Calculate Mean: Step 22: Calculate the mean of the original data set.\newlineMean = (70+80+82+83+84+85+89+91+812)/9(70 + 80 + 82 + 83 + 84 + 85 + 89 + 91 + 812) / 9\newlineMean = 1476/91476 / 9\newlineMean = 164164
  3. Remove Outlier: Step 33: Remove the outlier 812812 and calculate the new mean.\newlineNew Mean = (70+80+82+83+84+85+89+91)/8(70 + 80 + 82 + 83 + 84 + 85 + 89 + 91) / 8\newlineNew Mean = 664/8664 / 8\newlineNew Mean = 8383
  4. Compare Means: Step 44: Compare the original mean 164164 with the new mean 8383 to determine if the mean increased or decreased.\newlineSince 8383 is less than 164164, removing the outlier decreased the mean.

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