The mean and median are familiar ways to summarize the values of a numerical variable. In many situations the values of the mean and median are similar, but unusual observations can lead to quite different results.
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Notes on the video: The Centre of the Data and the Effects of Extreme Values
Some points to consider for this video:
- How does a modified box plot illustrate extreme values?
- What does it mean for a measure of centre to be robust?
- There are no set rules for what percentage of the data should be trimmed in a trimmed mean. The goal is to remove the extreme observations. If fact, you can trim as much as 50%. What is another name for the 50% trimmed mean?