Drawing Inferences from Box Plots

This lesson teaches how to draw inferences from data using box plots. It covers the 5 number summary, the importance of the median, and the interquartile range. The lesson emphasizes making informed inferences by considering multiple data aspects. A case study comparing basketball and football GPA data illustrates how to make predictions based on observations. The lesson concludes with a review of the key concepts and the importance of multiple observations for accurate inferences.

How do the lower and upper extremes contribute to understanding the spread of data?

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What is the significance of the median in a box plot?

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Why is it important to consider multiple aspects of data when making inferences?

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What observations can be made from the side-by-side box plots of junior year GPAs for basketball and football?

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Based on the lesson, what can be inferred about the performance of basketball and football players in their junior year?

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