To determine the number of outliers in a dataset, you typically need to calculate statistical measures such as the interquartile range (IQR) and establish thresholds (often using 1.5 times the IQR) to identify values that fall outside this range. The exact number of outliers will depend on the specific data points in your dataset. Without more information or the actual dataset, it's impossible to provide a precise count of outliers.
Each outlier is a single point in the outcome space.
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.
an outliers can affect the symmetry of the data because u can still move around it
You cannot, unless they are all outliers, and the plot records outliers separately.
"Outliers" by Malcolm Gladwell has approximately 320 pages in its paperback edition.
there are no limits to outliers there are no limits to outliers
The ISBN of Outliers - book - is 9780316017923.
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.
Each outlier is a single point in the outcome space.
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