To determine if there are outliers in the given data set (5, 10, 12, 14, 18, 60), we can use the interquartile range (IQR) method.
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Arrange the data: The data is already in order: 5, 10, 12, 14, 18, 60.
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Find Q1 (first quartile) and Q3 (third quartile):
- Q1 is the median of the first half (5, 10, 12): Q1 = 10.
- Q3 is the median of the second half (14, 18, 60): Q3 = 18.
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Calculate the IQR: \[ \text{IQR} = Q3 - Q1 = 18 - 10 = 8. \]
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Determine the lower and upper bounds for outliers:
- Lower bound: \( Q1 - 1.5 \times \text{IQR} = 10 - 1.5 \times 8 = 10 - 12 = -2 \).
- Upper bound: \( Q3 + 1.5 \times \text{IQR} = 18 + 1.5 \times 8 = 18 + 12 = 30 \).
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Identify outliers:
- Any value below -2 or above 30 is considered an outlier.
- In the given data set, 60 is above 30.
Thus, the correct statement regarding the outliers in the data set is:
D: The value 60 is the outlier.