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Box plot of data from the Michelson–Morley experiment displaying four outliers in the middle column, as well as one outlier in the first column. In statistics , an outlier is a data point that differs significantly from other observations.
- What Are outliers?
- Example: Using The Interquartile Range to Find Outliers
- Dealing with Outliers
- Other Interesting Articles
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Outliers are values at the extreme ends of a dataset. Some outliers represent true values from natural variation in the population. Other outliers may result from incorrect data entry, equipment malfunctions, or other measurement errors. An outlier isn’t always a form of dirty or incorrect data, so you have to be careful with them in data cleansing...
We’ll walk you through the popular IQR method for identifying outliers using a step-by-step example. Your dataset has 11 values. You have a couple of extreme values in your dataset, so you’ll use the IQR method to check whether they are outliers.
Once you’ve identified outliers, you’ll decide what to do with them. Your main options are retaining or removing them from your dataset. This is similar to the choice you’re faced with when dealing with missing data. For each outlier, think about whether it’s a true value or an error before deciding. 1. Does the outlier line up with other measureme...
If you want to know more about statistics, methodology, or research bias, make sure to check out some of our other articles with explanations and examples.
Learn what outliers are, how to identify them, and how to deal with them in your dataset. This article explains four methods to detect outliers: sorting, data visualization, statistical tests, and interquartile range.
Learn the various meanings and uses of the word outlier, from a person or thing that is different or isolated to a statistical observation that is markedly different from others. See examples, word history, and related entries.
An outlier is a person, thing, or fact that is very different from others in a set or a place. Learn how to use this word in English and other languages with examples and pronunciation.
Aug 24, 2021 · Learn the definition and methods of detecting outliers in a dataset using the interquartile range. Follow the steps and examples for odd and even datasets to calculate Q1, Q3, IQR and outliers.
Aug 26, 2019 · Learn how to identify and handle outliers in data analysis. Outliers are values or points that differ substantially from the rest of the data and can affect the results and conclusions.
