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 …

Sep 25, 2020 · Whereas the range gives you the spread of the whole data set, the interquartile range gives you the range of the middle half of a data set. When is the interquartile range useful? You can …

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 …

3 days ago · 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 …

Nov 4, 2025 · This quartile calculator and interquartile range calculator finds first quartile Q 1, second quartile Q 2 and third quartile Q 3 of a data set. It also finds median, minimum, maximum, and …

May 11, 2025 · In this comprehensive guide, we’ll delve deep into the Interquartile Range, exploring its definition, calculation, advantages, disadvantages, and practical applications.

Learn how to calculate the interquartile range from a variety of different data types and draw and interpret box-and-whisker diagrams.

Free interquartile range math topic guide, including step-by-step examples, free practice questions, teaching tips and more!

The interquartile range is the difference between the first and the third quartile of the data. The maximum part of the data lies within the interquartile range.

The interquartile range (IQR) is the central half of any dataset. While a range is a measure of where the beginning and end are in a set, an interquartile range is a measure of where the bulk of the values lie.