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The box plot shows the distribution of scores from the final exam of an English 101 course. To determine the average score, we generally rely on the mean, but since the box plot doesn't provide the exact data points, we can focus on the median, which is the best estimate given the data in this box plot.

Here's a breakdown of the box plot:

- **Minimum (lower whisker)**: Approximately 40
- **Lower quartile (Q1)**: Around 60
- **Median (Q2)**: Approximately 75 (this is the "middle" of the box and provides a central value)
- **Upper quartile (Q3)**: Around 85
- **Maximum (upper whisker)**: Around 100

Since box plots emphasize the median and quartiles, the **median score** (around 75) can be considered a good estimate of the average score in the absence of other data. However, the true mean might differ if we had the raw data.

Would you like more details or clarification on any part of this?

Here are 5 related questions:
1. What is the relationship between the mean and median in a symmetric distribution?
2. How would the shape of the box plot change if the distribution was skewed?
3. Why is the median used instead of the mean in a box plot?
4. What do the whiskers represent in a box plot?
5. How can we calculate the mean if we have access to the raw data?

**Tip:** A box plot is an excellent tool to visualize data distribution, but it doesn’t show all information, like the exact mean. For the mean, the actual data points are necessary.

The scores from the final exam in an English 101 course are given in the box plot. What was the average score?

Learn how to estimate the average score from a box plot of final exam results in an English 101 course. This problem covers key statistical concepts like median, quartiles, and interpreting box plots. Suitable for students in Grades 9-12.

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