The square of this value is given by the expected value of the square of a random variable minus its mean.
This is the smaller of two quantities affected by Bessel's correction. The square of this quantity gives a variable's second central moment. A value outside of k-times-this-quantity happens with probability one-over-k-squared, in Chebyshev's inequality. This value is in the denominator of t and z-scores. Using 2-times-this-value as a rule of thumb gave rise to the (*) threshold "p equals 0.05." Multiples of this value produce bands that include 68, 95, and 99.7 percent of a normal dataset. The square of this value is given by the expected value of the square of a random variable minus its mean. The square root of the variance gives—for 10 points—what measure of how spread out a dataset is?
This is the smaller of two quantities affected by Bessel's correction.
standard deviation [or SD; accept sigma] &lt;JR&gt;