What is the difference between IQR and standard deviation?
An example of an AI chatbot conversation about the difference between IQR and standard deviation.
What is the difference between IQR and standard deviation?
The Interquartile Range (IQR) measures the spread of the middle 50% of data, while standard deviation measures overall data variability.
Can you explain how to calculate IQR?
Sure! To calculate IQR, find the first quartile (Q1) and the third quartile (Q3), then subtract Q1 from Q3: IQR = Q3 - Q1.
When should I use IQR instead of standard deviation?
Use IQR when your data has outliers or is skewed, as it focuses on the central data range. Standard deviation is better for normally distributed data.
What are some examples of when to use each?
For example, use IQR for income data which can be skewed, and standard deviation for test scores that are normally distributed.
Can you summarize the key points?
Certainly! IQR is for the middle 50% of data and is robust to outliers, while standard deviation measures overall variability.
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