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 are no limits to outliers there are no limits to outliers
Outliers.
apparently there is no limit to outliers. at least according to everybody else's answers.
When the distribution has outliers. They will skew the mean but will not affect the median.
It is not.
Mean.
Mean- If there are no outliers. A really low number or really high number will mess up the mean. Median- If there are outliers. The outliers will not mess up the median. Mode- If the most of one number is centrally located in the data. :)
Yes, both of them will be outliers.
It depends on the distribution.
The range is very sensitive to outliers. Indeed if there are outliers then the range will be unrelated to any other elements of the sample.
I read in an Almanac that it is about $44,000 That answer was from the US census bureau with the top and bottom outliers being removed - which was defined as the top 2% and the bottom 1%. If the outliers are included the real average exceeds 140,000 a year. The actual average is above about 85% of the families in the US total income.
If the data numbers are all really close together than no. But if the data has numbers; for example: 12,43,45,51,57,62,90 (12 and 90 are the outliers) which are really far aprt, than yes.