Chebyshev bound for probability
Bound di share of a distribution wey dey within k standard deviations.
Your numbers
At least dis share dey within k standard deviations
Mean and variance must dey finite. Na general bound, no be exact probability for one particular distribution.
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Formula
P(|X−μ|<kσ)≥1−1/k²
Bound di share of a distribution wey dey within k standard deviations.
Example wey show the calculation
- Standard-deviation multiplier k
- 2
- At least dis share dey within k standard deviations
- 75 %
- At most dis share dey outside di interval
- 25 %
Where e fit work and limits
Mean and variance must dey finite. Na general bound, no be exact probability for one particular distribution.
We check inputs for missing values and allowed ranges. Result wey pass the finite numeric range no go show. Rounding affect wetin display, while calculation use the model numeric precision.
Check your units and assumptions before you rely on result. Changing label no convert currency or physical unit.
Version of di formula: b8b3271de52a · Example don get check: