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A set of data may include scores that are extremely different from the rest of the group causing suspicion; scores that are remarkably different from the majority are called outliers.
For a set of numerical data, any value that is markedly smaller or larger than other values. Mathematically, outliers are considered any number that is more than 1.5 times the interquartile range away from the median. For example, in the data set {3, 5, 4, 4, 6, 2, 25, 5, 6, 2} the value of 25 is an outlier.
Basically the one that doesn't belong.
Basically, the outlier is the number that
stands out.So let's say we have these numbers: 2,3,1,17. 17 is our outlier. Why? Because, it's obvious.17 is separate away from the all the other numbers. An outlier is an element of a data set that distinctly stands out from the rest of the data.Read more: http://wiki.answers.com/What_is_an_outlier_in_math#ixzz1FRclyotO
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What are the limits on outliers?
there are no limits to outliers there are no limits to outliers
What is unaffected by outliers?
interquartile range
Does outliers affects data?
No. Outliers are part of the data and do not affect them. They will, however, affect statistics based on the data and inferences based on the data.
How do outliers influence the shape and spread of the data?
Outliers will make give the graph a long tail (or tails). Overall, the graph will be flatter and wider.
Is the variance impacted by extreme outliers?
Yes, it is.
