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the interquartile range of the data set is 4. 2, 2, 3, 3, 4, 5, 5, 6, 7…

Question

the interquartile range of the data set is 4.
2, 2, 3, 3, 4, 5, 5, 6, 7, 9, 12
which explains whether or not 12 is an outlier?
○ twelve is an outlier because it is greater than the sum of 7 and 4.
○ twelve is an outlier because it is less than the sum of 7 and 6.
○ twelve is not an outlier because it is greater than the sum of 7 and 4.
○ twelve is not an outlier because it is less than the sum of 7 and 6.

Explanation:

Step1: Recall the outlier formula for upper bound

To determine if a value is an outlier, we use the formula for the upper fence: \( Q_3 + 1.5 \times \text{IQR} \). We know \( \text{IQR} = 4 \), and from the data set, we can find \( Q_3 \). First, let's find the quartiles. The data set is \( 2, 2, 3, 3, 4, 5, 5, 6, 7, 9, 12 \). The median (second quartile \( Q_2 \)) of 11 data points is the 6th value, which is 5. The upper half (for \( Q_3 \)) is \( 5, 6, 7, 9, 12 \), so the median of the upper half ( \( Q_3 \)) is the 3rd value, which is 7.

Step2: Calculate the upper fence

Now, calculate the upper fence: \( Q_3 + 1.5 \times \text{IQR} = 7 + 1.5\times4 = 7 + 6 = 13 \).

Step3: Compare 12 with the upper fence

We check if 12 is greater than the upper fence. Since \( 12 < 13 \) (and \( 13 = 7 + 6 \), because \( 1.5\times4 = 6 \)), we see that 12 is less than the sum of \( Q_3 = 7 \) and \( 1.5\times\text{IQR}=6 \). So, 12 is not an outlier because it is less than the sum of 7 and 6.

Answer:

Twelve is not an outlier because it is less than the sum of 7 and 6. (The corresponding option, e.g., if it's the fourth option: D. Twelve is not an outlier because it is less than the sum of 7 and 6)