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Select the outlier in the data set.\newline10,11,21,27,31,32,35,51,52010, 11, 21, 27, 31, 32, 35, 51, 520

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Q. Select the outlier in the data set.\newline10,11,21,27,31,32,35,51,52010, 11, 21, 27, 31, 32, 35, 51, 520
  1. List Data Set: List the data set in ascending order.\newlineData set: 10,11,21,27,31,32,35,51,52010, 11, 21, 27, 31, 32, 35, 51, 520.
  2. Calculate IQR: Calculate the interquartile range (IQR).\newlineFirst, find the median (Q22) of the data set. The median is 3131.\newlineLower half (excluding median): 10,11,21,2710, 11, 21, 27.\newlineUpper half (excluding median): 32,35,51,52032, 35, 51, 520.\newlineMedian of lower half (Q11): (11+21)/2=16(11 + 21) / 2 = 16.\newlineMedian of upper half (Q33): (35+51)/2=43(35 + 51) / 2 = 43.\newlineIQR = Q3Q1=4316=27Q3 - Q1 = 43 - 16 = 27.
  3. Determine Outlier Threshold: Determine the outlier threshold.\newlineLower bound = Q11.5×IQR=161.5×27=24.5Q1 - 1.5 \times IQR = 16 - 1.5 \times 27 = -24.5 (not applicable as all data are positive).\newlineUpper bound = Q3+1.5×IQR=43+1.5×27=83.5Q3 + 1.5 \times IQR = 43 + 1.5 \times 27 = 83.5.
  4. Identify Outliers: Identify any outliers beyond these bounds. 520520 is the only number greater than 83.583.5, making it the outlier.

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