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.
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.
The square of the standard deviation is called the variance. That is because the standard deviation is defined as the square root of the variance.
standard error
The four measures of central tendency are mean-also called average, mode-the most frequently occurring numerical, median-the middle number after arranging all data from lowest to highest numerical and lastly standard deviation-root-mean-square or square-root of the variance. These are the 4 measure of central tendency.
It is called a standard normal distribution.
Extreme values. They might also be called outliers but there is no agreed definition for the term "outlier".
They are observations with a low likelihood of occurrence. They may be called outliers but there is no agreed definition for outliers.
It is a measurement which may, sometimes, be called an extreme observation or an outlier. However, there is no agreed definition for outliers.
It is not called anything special, just 2 standard deviations or 3 sd.
The international standard is called A4. It measures 8.27 inches by 11.7 inches. The North American standard is called "Letter." It measures 8.5 inches by 11 inches.
The international standard is called A4. It measures 8.27 inches by 11.7 inches. The North American standard is called "Letter." It measures 8.5 inches by 11 inches.
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.
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.
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).
The standard size for a regular light bulb base is called an E26 or medium base, which measures 26 millimeters in diameter.
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,
The unit that measures one joule of work done in one second is called a watt. It is the standard unit of power in the International System of Units (SI).