What is the importance of IQR in statistics?
The Interquartile Range (IQR) is crucial as it measures statistical dispersion, indicating the spread of the middle 50% of data.
How does IQR help in identifying outliers?
IQR helps identify outliers by determining the range within which most data points lie. Any point outside 1.5 times the IQR from the quartiles is considered an outlier.
Can you explain how to calculate IQR?
Sure! To calculate IQR, first find the first quartile (Q1) and the third quartile (Q3). Then, subtract Q1 from Q3: IQR = Q3 - Q1.
What are the advantages of using IQR over standard deviation?
IQR is less affected by extreme values and provides a better measure of spread for skewed distributions compared to standard deviation.
Are there any limitations to using IQR?
Yes, IQR does not provide information about the overall distribution shape and may overlook important data trends.
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