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.
Yes. If you have a large group that is very similar and 2 or 3 that are not similar, the numbers that are not the same are all outliers
Outliers
Best to use a histogram i think! z scores can probably be used too however they seem more a method of how to transform outliers in workable scores.
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.
There is no limit to the number of outliers there can be in a set of data.
there are no limits to outliers there are no limits to outliers
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.
Yes, a data set can have more than one outlier. An outlier is a data point that significantly differs from the rest of the data. The presence of multiple outliers can impact the overall distribution and analysis of the data.
Of course. In a large sampling of data, a relatively small group of outliers is possible.
Yes. If you have a large group that is very similar and 2 or 3 that are not similar, the numbers that are not the same are all outliers
Outliers.
The ISBN of Outliers - book - is 9780316017923.
the interquartile range is not sensitive to outliers.
Outliers
"Outliers" by Malcolm Gladwell has approximately 320 pages in its paperback edition.
Yes, it is.