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What are the names of the measurements that fall beyond three standard deviations from the mean?
Outliers.
Measurements that fall beyond three standard deviations?
It is one of the informal definitions for an outlier.
An eight letter word meaning measurements that fall beyond three standard deviations from the mean?
outliers
Measurements that fall beyond three standard deviations from the mean?
I believe outliers is the best answer to this question. The previous answer was average, which is the mean.
What do you call measurements that fall three standard deviations from the mean?
variances
What are the measurements that fall beyond three standard deviations 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.
What 8 letter word with the 3rd letter t and the 6th letter e mean measurements that fall beyond three standard deviations from the mean?
Outliers
Measurements that fall beyond three standard deviations from the mean are called?
Extreme values. They might also be called outliers but there is no agreed definition for the term "outlier".
What is the measures that fall beyond three standard deviations of the mean called?
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.
What is measurement that fall beyond three standard deviations from the mean?
It is a measurement which may, sometimes, be called an extreme observation or an outlier. However, there is no agreed definition for outliers.
What are measurements called that fall beyond three standard deviations from the mean?
Measurements. Just because a particular result lies far from the mean doesn't make it any different. If it's noticeably far from the "crowd" of all the other measurements, it can be called an outlier. An outlier isn't necessarily bad, just different. It should be examined in detail to see if there's something odd about it, but not discarded out of hand.
What if a standard score is 57 and the average is 100 Is that three standard deviations below the mean or almost three?
The answer depends on what the standard deviation is.
