The interquartile range, often shortened to IQR, is a useful measure of spread that shows how widely the middle 50% of a data set is distributed. If you want to know how to do the interquartile range, the process is straightforward: arrange the data in order, find the median, identify the first and third quartiles, and subtract the first quartile from the third quartile.
Introduction
The interquartile range is one of the most practical tools in statistics because it helps describe variability without being heavily affected by extreme values. While the regular range only looks at the difference between the highest and lowest values, the IQR focuses on the central portion of the data.
No fluff here — just what actually works Worth keeping that in mind..
This makes it especially helpful when working with real-world data, where outliers are common. As an example, household incomes, test scores, house prices, and temperatures can include unusually high or low values. The IQR gives a clearer picture of the “typical” spread of the data.
In simple terms:
- Q1, or the first quartile, marks the 25th percentile.
- Q3, or the **third
