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
there are no limits to outliers there are no limits to outliers
interquartile range
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.
Outliers will make give the graph a long tail (or tails). Overall, the graph will be flatter and wider.
Mean.
there are no limits to outliers there are no limits to outliers
The ISBN of Outliers - book - is 9780316017923.
"Outliers" by Malcolm Gladwell has approximately 320 pages in its paperback edition.
There is no limit to the number of outliers there can be in a set of data.
Outliers - book - was created on 2008-11-18.
apparently there is no limit to outliers. at least according to everybody else's answers.
Outliers - 2010 was released on: USA: 5 February 2010
The whiskers mark the ends of the range of figures - they are the furthest outliers. * * * * * No. Outliers are not part of a box and whiskers plot. The whiskers mark the ends of the minimum and maximum observations EXCLUDING outliers. Outliers, if any, are marked with an X.
You can only do it if either the outliers are way out - so far that they must be odd, so far that there can be no argument, no need for statistics to prove them to be outliers, or you need to prove that they are outliers using statistics - something like Grubb's test. To do that, the simplest way is software.
maybe!!
1,5
an outliers can affect the symmetry of the data because u can still move around it