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Tchebysheff's Theorem
A theorem stating that for any set of data, the proportion of results within k standard deviations from the mean is at least 1-(1/k^2) for k>1.
Tchebysheff's Theorem
A statistical theorem stating that for any distribution, the proportion of outcomes within k standard deviations from the mean is at least \(1-\frac{1}{k^2}\) for k > 1.
Empirical Rule
A statistical norm indicating that in a normal distribution, the vast majority of data points lie within a range of three standard deviations from the mean.
Tchebysheff's Theorem
A theorem that provides a minimum bound on the proportion of values that lie within a certain number of standard deviations from the mean for any distribution.
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