It depends on the distribution.
there are no limits to outliers there are no limits to outliers
In chemistry, outliers are data points that deviate significantly from the rest of the data set. Outliers can result from measurement errors, experimental uncertainties, or unexpected reactions. It is important to identify and address outliers in data analysis to ensure accurate and reliable results.
They would both increase.
The ISBN of Outliers - book - is 9780316017923.
"Outliers" by Malcolm Gladwell has approximately 320 pages in its paperback edition.
Outliers - book - was created on 2008-11-18.
It would be 1/6 with 1 dice. To get 5 out of FIVE it would be 1/6 X 1/6 x 1/6 X 1/6 X 1/6 = 1/7776 odds. 4/5 would be 1/216
apparently there is no limit to outliers. at least according to everybody else's answers.
There is no agreed definition of an outlier and consequently, there is no simple answer to the question. The number of outliers will depend on the criterion used to identify them. If you have observations from a normal distribution, you should expect around 1 in 22 observations to be more than 2 standard deviations from the mean, and about 1 in 370 more than 3 sd away. You will have more outliers if the distribution is non-normal - particularly if it is skewed.
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.
no, because that would be 6 remainder 6, which is 6/6 which equals 1 whole. So it would be the answer you got +1 with no remainder