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It seems that the task requires calculating the first (Q1) and third quartiles (Q3) of a dataset, which is a list of hazardous waste sites. Let's carefully compute the quartiles for the given dataIt seems that the task requires calculating the first (Q1) and third quartiles (Q3) of a dataset, which is a list of hazardous waste sites. Let's carefully compute the quartiles for the given 

**Data provided** (sorted order):
9, 11, 12, 12, 13, 14, 14, 14, 15, 15,  
16, 19, 20, 21, 25, 26, 29, 30, 32, 32,  
32, 38, 40, 48, 49, 49, 52, 67, 86, 97.

### Steps to Calculate Quartiles:
1. **Arrange the data**: The data is already sorted.
2. **Find Q1**: The first quartile (Q1) is the median of the first half of the dataset.
3. **Find Q3**: The third quartile (Q3) is the median of the second half of the dataset.

Now, I will calculate Q1 and Q3 for this data.

Let me compute this for you.The correct quartiles for the data are as follows:

- **First quartile (Q1)**: 14.25
- **Third quartile (Q3)**: 39.5

It seems that the third quartile value you entered, 50, is incorrect. The actual third quartile is 39.5.

Would you like more details on the process or have any questions?

Here are 5 related questions you might explore:
1. What is the difference between quartiles and percentiles?
2. How is the interquartile range (IQR) calculated, and what is its significance?
3. Can quartiles be used to detect outliers in a dataset?
4. What is the role of the median in determining quartiles?
5. How do quartiles differ in datasets that aren't evenly distributed?

**Tip**: Quartiles divide your data into four equal parts, and they are especially useful in understanding the spread and distribution of your dataset.

Find the first and third quartiles of the given hazardous waste data.

Learn how to calculate the first and third quartiles for a given set of hazardous waste data. This statistical problem involves determining the Q1 and Q3 values using the data's distribution. Ideal for high school students (Grades 9-12).

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