Use our free online IQR Calculator to quickly determine the Interquartile Range (IQR) of any dataset. Easily find the first quartile (Q1), third quartile (Q3), and the spread of the middle 50% of your data. Ideal for statistics students, researchers, and data analysts understanding variability and identifying potential outliers effectively.
Formula:
The Interquartile Range (IQR) is a crucial measure of statistical dispersion, representing the spread of the middle 50% of a dataset. It is calculated by subtracting the first quartile (Q1) from the third quartile (Q3).
IQR = Q3 - Q1
Where:
- Q1: The first quartile, also known as the 25th percentile, which marks the point below which 25% of the data falls.
- Q3: The third quartile, also known as the 75th percentile, which marks the point below which 75% of the data falls.
The IQR is particularly useful for identifying data variability and spotting outliers, as it is less sensitive to extreme values than the full range.