https://file.aiquickdraw.com/mathbot/file/17273065707577ur0amcm.jpg

To find the first quartile (Q1) and the third quartile (Q3) from the box plot shown in the image, let’s analyze the key features of the plot:

1. **Q1 (First Quartile)**: The first quartile is represented by the left boundary of the box. This value separates the lower 25% of the data from the rest.
2. **Median (Q2)**: The line inside the box shows the median (the second quartile), which separates the data into two equal halves.
3. **Q3 (Third Quartile)**: The right boundary of the box represents the third quartile. This value separates the top 25% of the data from the bottom 75%.

### Analysis of the Box Plot:
- The box extends from approximately **150 to 350** on the horizontal axis, which corresponds to the range between Q1 and Q3.
- **Q1** is approximately **150**.
- The median (Q2) is around **250**.
- **Q3** is approximately **350**.

### Correct Q1 and Q3:
- **Q1 = 150 species**
- **Q3 = 350 species**

Would you like further details or explanations on this? Here are 5 follow-up questions to consider:

1. What is the interquartile range (IQR) based on these values?
2. How do outliers relate to Q1 and Q3 in a box plot?
3. Can you explain why the median is a good measure of central tendency in this data set?
4. What would the next step be if you wanted to calculate potential outliers using these quartiles?
5. How can the range and IQR be used to measure the spread of the data?

**Tip**: Box plots are excellent for visually representing the spread and central tendency of a dataset, especially when analyzing skewness or identifying potential outliers.

Learn how to find Q1 and Q3 using a box plot with fish species data. This problem covers key statistical concepts like quartiles and box plots, perfect for students in Grades 6-10.

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