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Select the outlier in the data set. \newline9,71,79,81,82,83,86,88,979, 71, 79, 81, 82, 83, 86, 88, 97

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Q. Select the outlier in the data set. \newline9,71,79,81,82,83,86,88,979, 71, 79, 81, 82, 83, 86, 88, 97
  1. Arrange Data Set: Arrange the data set in ascending order.\newlineData set in order: 99, 7171, 7979, 8181, 8282, 8383, 8686, 8888, 9797.
  2. Calculate IQR: Calculate the interquartile range (IQR).\newlineFirst, find the medians of the lower and upper halves.\newlineLower half: 9,71,79,819, 71, 79, 81; Median = (71+79)/2=75(71 + 79) / 2 = 75.\newlineUpper half: 83,86,88,9783, 86, 88, 97; Median = (86+88)/2=87(86 + 88) / 2 = 87.\newlineIQR = Upper median - Lower median = 8775=1287 - 75 = 12.
  3. Determine Outlier Thresholds: Determine the outlier thresholds.\newlineLower threshold = Lower median - 1.5×IQR=751.5×12=571.5 \times \text{IQR} = 75 - 1.5 \times 12 = 57.\newlineUpper threshold = Upper median + 1.5×IQR=87+1.5×12=1051.5 \times \text{IQR} = 87 + 1.5 \times 12 = 105.
  4. Identify Outliers: Identify any values outside these thresholds.\newlineValues below 5757 are considered outliers.\newlineThe value 99 is below the lower threshold of 5757, making it an outlier.

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