A value that "lies outside" (is much smaller or larger than) most of the other values in a set of data. For example in the scores 25,29,3,32,85,33,27,28 both 3 and 85 are "outliers".

Mar 24, 2011 · Outliers are extreme values — data points that lie significantly outside other values in a data set. An outlier must be significantly less than or greater than the majority of numbers …

May 11, 2025 · An “outlier” or “extreme value” in a data set is a data point whose value is either much smaller or much larger than the majority of the data set. It is often possible to see, by …

Dec 17, 2024 · When you have a number of observations (data points) then, if one is very different than the rest it is called an outlier. For example, if I observed the temperature of a …

Outliers are data points that are far from other data points. In other words, they’re unusual values in a dataset. Outliers are problematic for many statistical analyses because they can cause …

Outliers can affect some of the measures of central tendency and spread, so we need to understand how to identify outliers and what to do when we find them in our data set. For …

Outliers are data points that significantly differ from others in a dataset. Their presence can skew results and interpretations. The lesson delves into the effects of extreme data values on …

An outlier in a data set is a value that is far away from the rest of the values in the data set. In a box and whisker diagram, outliers are usually close to the whiskers of the diagram.

Feb 21, 2023 · To find an outlier, you first need to determine the central tendency of the dataset, which can be done by calculating the mean, median, or mode. Once you have identified the …

Nov 30, 2021 · 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 …