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Select the outlier in the data set.\newline5,47,51,55,56,57,59,645, 47, 51, 55, 56, 57, 59, 64

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Q. Select the outlier in the data set.\newline5,47,51,55,56,57,59,645, 47, 51, 55, 56, 57, 59, 64
  1. Calculate Range: List the data set and calculate the range.\newlineData set: 5,47,51,55,56,57,59,645, 47, 51, 55, 56, 57, 59, 64.\newlineRange =Maximum valueMinimum value=645=59= \text{Maximum value} - \text{Minimum value} = 64 - 5 = 59.
  2. Calculate Quartiles: Calculate the first and third quartiles (Q1Q1 and Q3Q3).\newlineTo find Q1Q1, the median of the first half (5,47,51,555, 47, 51, 55) is (47+51)/2=49(47 + 51) / 2 = 49.\newlineTo find Q3Q3, the median of the second half (56,57,59,6456, 57, 59, 64) is (57+59)/2=58(57 + 59) / 2 = 58.
  3. Calculate IQR: Calculate the interquartile range (IQR). IQR=Q3Q1=5849=9IQR = Q_3 - Q_1 = 58 - 49 = 9.
  4. Determine Outlier Threshold: Determine the outlier threshold.\newlineLower bound = Q11.5×IQR=491.5×9=35.5Q1 - 1.5 \times IQR = 49 - 1.5 \times 9 = 35.5.\newlineUpper bound = Q3+1.5×IQR=58+1.5×9=71.5Q3 + 1.5 \times IQR = 58 + 1.5 \times 9 = 71.5.
  5. Identify Outliers: Identify any outliers outside the bounds.\newlineThe value 55 is below the lower bound of 35.535.5, making it an outlier.

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