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3 cards from this section. Quick, good the night before a test.
What does IQR stand for?
Remember, it relates to quartiles.
What are the lower and upper bounds for outliers?
Think about how we determine the range for outliers.
What does the IQR represent in a dataset?
Remember, it's about the 25th and 75th percentiles.
True or False: Outliers can never have a significant impact on data analysis?
Consider how extreme values affect averages.
Consider a dataset: [10, 12, 38, 40, 42, 49, 50, 52, 56, 60, 110]. Calculate the IQR and identify the outliers.
Always start by sorting the data.
In a classroom of test scores [65, 70, 75, 80, 85, 90, 95, 100, 105, 10], identify the outliers using the IQR method.
Look for points that sit outside the calculated bounds.
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