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What else can I help you with?
What are the limits on outliers?
there are no limits to outliers there are no limits to outliers
How would you explain the outliers in chemistry?
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.
What is the ISBN of Outliers book?
The ISBN of Outliers - book - is 9780316017923.
If outliers are added to a dataset how would the variance and standard deviation change?
They would both increase.
How many pages does Outliers - book - have?
"Outliers" by Malcolm Gladwell has approximately 320 pages in its paperback edition.
Can there be 2 outliers in a set of data?
There is no limit to the number of outliers there can be in a set of data.
When was Outliers - book - created?
Outliers - book - was created on 2008-11-18.
What are limits on outliers?
apparently there is no limit to outliers. at least according to everybody else's answers.
What are the release dates for Outliers - 2010?
Outliers - 2010 was released on: USA: 5 February 2010
What does the whisker in a box-and-whisker plot represent?
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.
What is 1 plus 1 over 6?
depends. if it is (1+1)/6, the answer would be 1/3 if is it 1+1/6, the answer would be would be 7/6 because the order of operations call for dividing first, then adding
How many outliers can a data set have?
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.
