σ = √( Σ (xi − μ)² / N )
s = √( Σ (xi − x̄)² / (n − 1) )
Standard deviation measures how spread out numbers are from the mean. A low value means numbers are close to the average, while a high value indicates more variation.
Variance is the average of squared differences from the mean. Standard deviation is the square root of variance.
Standard deviation measures the spread of values around the mean in a dataset.
Variance is the average squared deviation from the mean, while standard deviation is the square root of variance.