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The problem provided involves finding the **Interquartile Range (IQR)** for the systolic blood pressure of men, given the three quartiles \( Q_1 = 111 \), \( Q_2 = 125 \), and \( Q_3 = 138 \).

The formula for the **IQR** is:
\[
\text{IQR} = Q_3 - Q_1
\]

Using the given values:
\[
\text{IQR} = 138 - 111 = 27
\]

Thus, the **IQR** is **27**.

Do you have any questions or would you like more details?

Here are five related questions to explore:

1. What is the significance of the interquartile range in statistics?
2. How do you interpret outliers using the IQR?
3. What is the difference between the IQR and the standard deviation?
4. How would the IQR change if \( Q_3 \) was higher than 138?
5. Can the IQR be used for data sets with skewed distributions?

**Tip:** The IQR is a useful measure of spread that is resistant to outliers, making it ideal for non-normally distributed data!

Blood pressure in men: The three quartiles for systolic blood pressure in a sample of 3180 men were Q1 = 111, Q2 = 125, and Q3 = 138. Find the IQR.

Learn how to find the Interquartile Range (IQR) for systolic blood pressure using given quartiles Q1 = 111, Q2 = 125, and Q3 = 138 in a sample of 3180 men. Understand the IQR formula and its significance in statistics.

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