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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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โˆ™ 2007-04-30 11:18:02
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Q: What is the measures that fall beyond three standard deviations of the mean called?
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What are measurements that fall beyond three standard deviations from the mean called?

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".


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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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It is a measurement which may, sometimes, be called an extreme observation or an outlier. However, there is no agreed definition for outliers.


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It is not called anything special, just 2 standard deviations or 3 sd.


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Values that are either extremely high or low in a data set are called 'outliers'. They are typically 3 standard deviations or more from the mean.


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Megalencephaly (also called macrencephaly) describes an enlarged brain whose weight exceeds the mean (the average weight for that age and sex) by at least 2.5 standard deviations (a statistical measure of variation).


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.


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The mean deviation (also called the mean absolute deviation) is the mean of the absolute deviations of a set of data about the data's mean. The standard deviation sigma of a probability distribution is defined as the square root of the variance sigma^2,


When computing Standard deviation should you eliminate the extreme values?

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The technology which is called total factor productivity. It measures the efficiency of all inputs to a production process.


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Using 'a raft of' preceding a noun is a term for a 'large quantity' of that thing.


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