Min: 10

Q1: 33

Q2 (Median): 61

Q3: 76.5

Max: 90 generate a box plot for this

Here is the box plot based on the five-number summary you provided:

- Minimum: 10
- Q1 (First Quartile): 33
- Median: 61
- Q3 (Third Quartile): 76.5
- Maximum: 90

Let me know if you want further details or have any questions!

Here are 5 related questions to explore:
1. What is the interquartile range (IQR) for this dataset?
2. How would you interpret any outliers, if present, in a box plot?
3. How does the shape of the box plot reflect data distribution?
4. What is the significance of the median in the box plot?
5. How can whiskers in a box plot provide insight into variability?

**Tip:** The interquartile range (IQR) is a measure of statistical dispersion and can be useful for identifying outliers.

Learn how to create a box plot using the five-number summary: Min: 10, Q1: 33, Median: 61, Q3: 76.5, Max: 90. This lesson covers key statistical concepts, including the interquartile range (IQR) and the significance of the median. Suitable for students in Grades 6-8.

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