Construct a box plot from the given data. Use the approximation method.

Scores on a Statistics Test:  55,54,52,66,56,66,86,69,49,9455,54,52,66,56,66,86,69,49,94

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Here is the box plot constructed from the provided test scores. The plot visually summarizes the distribution of your data, showing the minimum, first quartile (Q1), median, third quartile (Q3), and maximum values, along with potential outliers.

Would you like further details on how the box plot is interpreted, or have any specific questions?

Here are five related questions you might consider:
1. What are quartiles and how are they calculated in a data set?
2. How can you identify outliers using a box plot?
3. What is the interquartile range (IQR) and why is it important?
4. How do different distributions affect the shape of a box plot?
5. Can box plots be used for comparing two or more data sets?

**Tip:** Always look for outliers in a box plot, as they can significantly affect statistical analysis!

Construct a box plot from the given data. Use the approximation method.

Scores on a Statistics Test: 55,54,52,66,56,66,86,69,49,94

Learn how to construct a box plot from a set of statistics test scores: 55, 54, 52, 66, 56, 66, 86, 69, 49, 94. This problem covers key concepts like quartiles, interquartile range (IQR), and outliers. Suitable for students in Grades 9-12.

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