Outliers.
How many standard deviations is 16.50 from the mean?
They are observations with a low likelihood of occurrence. They may be called outliers but there is no agreed definition for outliers.
You can't average means with standard deviations. What are you trying to do with the two sets of data?
Nearly all the values in a sample from a normal population will lie within three standard deviations of the mean. Please see the link.
variances
Outliers.
It is one of the informal definitions for an outlier.
This is 3 standard deviations above and below the mean.
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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I believe outliers is the best answer to this question. The previous answer was average, which is the mean.
Usually they would be observations with very low probabilities of occurrence.