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### Given Data
The data set provided is:
\[
52, 52, 53, 55, 56, 59, 60, 61, 65, 66, 67
\]

#### Part (a) - Finding \( Q_1 \) and \( Q_3 \)

- \( Q_1 \) is the lower quartile, which is the median of the lower half of the data.
- \( Q_3 \) is the upper quartile, which is the median of the upper half of the data.

To calculate these:
- First, arrange the data in ascending order (

The last 11 responses to a customer support line had the following lengths (in minutes): 52, 52, 53, 55, 56, 59, 60, 61, 65, 66, 67. Complete the parts below to identify any outliers.

Learn how to calculate the lower and upper quartiles (Q1 and Q3) for a given data set and use the interquartile range (IQR) to identify any outliers. This problem includes step-by-step calculations of IQR, outlier boundaries, and specific customer support response times data.

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