How can I identify outliers using the IQR method?
An example of an AI chatbot conversation about identifying outliers using the IQR method.
How can I identify outliers using the IQR method?
To identify outliers using the IQR method, first calculate the first (Q1) and third quartiles (Q3) of your data.
What is the IQR and how do I calculate it?
The IQR, or Interquartile Range, is the difference between Q3 and Q1. It measures the middle 50% of your data.
Once I have the IQR, how do I find the outliers?
You can find outliers by calculating the lower bound (Q1 - 1.5 * IQR) and the upper bound (Q3 + 1.5 * IQR). Any data points outside these bounds are considered outliers.
Can you give me an example with actual numbers?
Sure! If Q1 is 10 and Q3 is 20, the IQR is 10. The lower bound is -5 and the upper bound is 25. Any data points below -5 or above 25 are outliers.
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