In descriptive statistics, the interquartile range (IQR) is a measure of statistical dispersion, which is the spread of the data. [1] The IQR may also be called the midspread, middle 50%, fourth spread, or …

Aug 29, 2021 · The interquartile range is the middle half of the data that lies between the upper and lower quartiles. In other words, the interquartile range includes the 50% of data points that are above …

Sep 25, 2020 · In descriptive statistics, the interquartile range tells you the spread of the middle half of your distribution. Quartiles segment any distribution that’s ordered from low to high into four equal parts.

The higher the IQR, the more spread out the data points; in contrast, the smaller the IQR, the more bunched up the data points are around the mean. The IQR range is one of many measurements …

Dec 29, 2025 · The Interquartile Range (IQR) tells us how spread out the middle 50% of the data is. It is less affected by extreme values and gives a better idea of how tightly or loosely the central data …

The IQR describes the middle 50% of values when ordered from lowest to highest. To find the interquartile range (IQR), first find the median (middle value) of the lower and upper half of the data. …

How do you find the interquartile range of a data set? To find the interquartile range (I Q R) (I QR) of a data set, subtract the lower quartile (Q 1) (Q1) from the upper quartile (Q 3).

Dec 18, 2025 · Learn how to calculate and use the Interquartile Range (IQR) for robust data analysis, outlier detection, and variability assessment.

May 11, 2025 · The Interquartile Range (IQR) is a measure of statistical dispersion. It represents the range encompassing the middle 50% of a dataset. Unlike the total range (the difference between the …

Sep 2, 2024 · One of the most informative and robust measures of dispersion is the Interquartile Range (IQR). In this post, we’ll dive deep into what the IQR is, why it’s important, and how to calculate it …