The lecture Comparing Distributions by David Spade, PhD is from the course Statistics Part 1. It contains the following chapters:
When we compare multiple groups using histograms, what information can we get?
When we compare two groups using sidebyside boxplots, what information about the two distributions is hidden?
Suppose we have data that are skewed. Which of the following is a problem with skewed data?
Which of the following is a common way to make skewed data more symmetric?
Which of the following makes comparison of distributions difficult?
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