One inequality bounds the probability that the magnitude of X minus mu is greater than a constant times this quantity, and is named for Chebyshev.
A process named after six times this value can be expected to have only 3.4 defects per million opportunities. A rule of thumb in correcting bias changes a 1 to a 1.5 in calculations of this value. One inequality bounds the probability that the magnitude of X minus mu is greater than a constant times this quantity, and is named for Chebyshev. For the uniform distribution, this quantity is a minus b over the square root of 12. For discrete data, it equals the square root of the average of the square of the distance of each point from the mean. For ten points, name this quantity that is the square root of the variance and that measures, on average, how far things are from the mean.
A process named after six times this value can be expected to have only 3.4 defects per million opportunities.
standard deviation [prompt on sigma]