https://file.aiquickdraw.com/mathbot/file/1726724398027n63lgg6j.jpg

To find the **Interquartile Range (IQR)**, we use the formula:

\[
IQR = Q_3 - Q_1
\]

From the image, the quartiles are given as:

- \( Q_1 = 115 \)
- \( Q_3 = 142 \)

Now, calculating the IQR:

\[
IQR = 142 - 115 = 27
\]

Thus, the IQR is **27**.

Would you like a further explanation, or do you have any more questions?

Here are 5 related questions to consider:
1. What does the IQR tell us about the spread of data?
2. How does the IQR compare to the range?
3. What are outliers and how are they related to the IQR?
4. How would you identify outliers using the IQR method?
5. Why is the median (Q2) not used in the calculation of IQR?

**Tip**: The IQR is useful because it measures the range of

Blood pressure in men: The three quartiles for systolic blood pressure in a sample of 3164 men were Q1 = 115, Q2 = 129, and Q3 = 142. Find the IQR.

Learn how to calculate the Interquartile Range (IQR) for systolic blood pressure data from a sample of 3164 men. Using the given quartiles Q1 = 115 and Q3 = 142, this step-by-step guide will show you how to find the IQR of the data set.

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