Outliers.
In a normally distributed data set, approximately 95% of the data falls within two standard deviations of the mean. This is part of the empirical rule, which states that about 68% of the data falls within one standard deviation and about 99.7% falls within three standard deviations. Therefore, two standard deviations capture a significant majority of the data points.
How many standard deviations is 16.50 from the mean?
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They are observations with a low likelihood of occurrence. They may be called outliers but there is no agreed definition for outliers.
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Outliers.
This is 3 standard deviations above and below the mean.
It is one of the informal definitions for an outlier.
identify and report deviations
The answer depends on what the standard deviation is.
The sum of standard deviations from the mean is the error.
outliers
You may be referring to the statistical term 'outlier(s)'. Also, there is a rule in statistics called the '68-95-99 Rule'. It states that in a normally distributed dataset approximately 68% of the observations will be within plus/minus one standard deviation of the mean, 95% within plus/minus two standard deviations, and 99% within plus/minus three standard deviations. So if your data follow the classic bell-shaped curve, roughly 1% of the measures should fall beyond three standard deviations of the mean.
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Usually they would be observations with very low probabilities of occurrence.