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Comparing Distributions: A Guide to Analyzing Boxplots and Key Distribution Features

When describing a distribution, always mention the Center, Unusual features (gaps, outliers), Shape (unimodal, symmetric, skewed, uniform), and Spread. Remember to C.U.S.S. in context. To compare multiple distributions, analyze the CUSS of each one. Boxplots provide a five-number summary and allow for detailed comparisons. Focus on comparing medians to determine which group has a higher center, examine the interquartile ranges (IQRs) to understand spread, and check for outliers. This guide helps facilitate a comprehensive analysis of various distributions.

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Comparing Distributions: A Guide to Analyzing Boxplots and Key Distribution Features

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  1. Comparing Distributions

  2. When describing a distribution, always mention the… • Center • Unusual features (gaps, outliers) • Shape (unimodal, symmetric, skewed, uniform….) • Spread And don’t forget to C.U.S.S. in context

  3. But what if you want to compare more than one distribution? Just compare the CUSS of each distribution.

  4. Comparing Boxplots Because boxplots give us the five-number summary, however, we should go into a little more detail. Compare the medians – which group has the higher center? Compare the IQR’s – which group is more spread out? Check for outliers and identify them if you can.

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