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Select the outlier in the data set. \newline2,49,51,52,55,59,61,63,712, 49, 51, 52, 55, 59, 61, 63, 71

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Q. Select the outlier in the data set. \newline2,49,51,52,55,59,61,63,712, 49, 51, 52, 55, 59, 61, 63, 71
  1. Arrange Data in Ascending Order: Arrange the data set in ascending order.\newlineData set in order: 2,49,51,52,55,59,61,63,712, 49, 51, 52, 55, 59, 61, 63, 71.
  2. Calculate Interquartile Range: Calculate the interquartile range (IQR). First, find the medians of the lower and upper halves, excluding the median of the full set. Lower half: 2,49,51,522, 49, 51, 52; Median = (49+51)/2=50(49 + 51) / 2 = 50 Upper half: 59,61,63,7159, 61, 63, 71; Median = (61+63)/2=62(61 + 63) / 2 = 62 IQR = Upper median - Lower median = 6250=1262 - 50 = 12
  3. Determine Outlier Thresholds: Determine the outlier thresholds.\newlineLower bound = Q11.5×IQR=501.5×12=32Q1 - 1.5 \times IQR = 50 - 1.5 \times 12 = 32\newlineUpper bound = Q3+1.5×IQR=62+1.5×12=80Q3 + 1.5 \times IQR = 62 + 1.5 \times 12 = 80
  4. Identify Outliers: Identify any numbers outside the outlier thresholds.\newlineThe number 22 is below the lower bound of 3232, making it an outlier.

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