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4 cards from this section. Quick, good the night before a test.
What defines an outlier in a dataset?
Think about what you might consider unusual in data.
Name one method for visualizing outliers.
Consider graphical representations.
What is an outlier?
It’s something that stands out.
True or False: Outliers should always be removed from datasets.
Consider the context of the data.
You have a dataset of students' test scores ranging from 50 to 80, but a score of 95 is included. Analyze how this outlier may affect the mean and median scores.
Calculate the mean and median both with and without the outlier.
You collect monthly rainfall data and find an unusually high value recorded. Discuss the implications of this outlier for climate analysis.
Context is vital here—investigate possible causes.
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