What is the importance of the Interquartile Range (IQR) in statistics?
The Interquartile Range (IQR) measures statistical dispersion by indicating the range within which the central 50% of data points lie.
Why is IQR preferred over range for measuring variability?
IQR is preferred because it is less affected by outliers and provides a better representation of the data's spread.
Can you give an example of how to calculate the IQR?
Sure! To calculate the IQR, first find the first quartile (Q1) and the third quartile (Q3). Then, subtract Q1 from Q3: IQR = Q3 - Q1.
What does a high IQR indicate about a dataset?
A high IQR indicates a wide spread of the middle 50% of the data, suggesting greater variability within the dataset.
How can I use IQR to identify outliers?
You can identify outliers by calculating the lower and upper bounds: any data point below Q1 - 1.5IQR or above Q3 + 1.5IQR is considered an outlier.
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