Part 1: Quartiles

• The first quartile $Q_1$ is 58.0.
• The second quartile $Q_2$ (the median) is 59.0.
• The third quartile $Q_3$ is 61.5.

Part 2: Interquartile Range (IQR)

• The interquartile range (IQR) is $Q_3 - Q_1 = 61.5 - 58.0 = 3.5$.

Part 3: Outliers

• The only outlier in the data set is 73, as it exceeds the upper bound.

Would you like more details or further clarification on any part? Here are five related questions:

1. How are quartiles calculated in different distributions?
2. What is the significance of the interquartile range (IQR)?
3. How do outliers affect statistical analysis?
4. Can a data set have multiple outliers, and how do we handle them?
5. What are other methods for detecting outliers besides IQR?

Tip: Outliers can significantly skew the results of statistical analysis. Always consider them when summarizing data.