Mar 3, 2021 · This tutorial explains how to find outliers using the interquartile range, including several examples.

Jul 12, 2025 · Interquartile Range (IQR) is a technique that detects outliers by measuring the variability in a dataset. In this article we will learn about it. IQR is used to measure variability …

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 …

We can use the IQR method of identifying outliers to set up a “fence” outside of Q1 and Q3. Any values that fall outside of this fence are considered outliers. To build this fence we take 1.5 …

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 …

Aug 29, 2021 · I’ll show you how to find the interquartile range, use it to measure variability, graph it in boxplots to assess distribution properties, use it to identify outliers, and test whether your …

Sep 2, 2025 · The IQR method is powerful for skewed data like house prices, salaries, or medical costs. Outliers can be either removed or capped depending on the analysis context.

What is an 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 …

May 11, 2025 · What Exactly is the Interquartile Range (IQR)? The Interquartile Range (IQR) is a measure of statistical dispersion. It represents the range encompassing the middle 50% of a …

Jan 24, 2024 · The interquartile (IQR) method of outlier detection uses 1.5 as its scale to detect outliers because it most closely follows Gaussian distribution. As a result, the method dictates …