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6 results for “normal”

Formulae (6)

z = \frac{x - \mu}{\sigma}

Number of standard deviations a value is from the mean.

f(x) = \frac{1}{\sigma\sqrt{2\pi}}e^{-\frac{(x-\mu)^2}{2\sigma^2}}

Probability density of the bell curve.

f(x) = \frac{1}{\sigma\sqrt{2\pi}} e^{-\frac{(x-\mu)^2}{2\sigma^2}}

Bell-curve probability density function.

z = \frac{x - \mu}{\sigma}

Standardizes features to zero mean and unit variance.

x' = \frac{x - x_{min}}{x_{max} - x_{min}}

Rescales features to the range [0, 1].

FFMI = \frac{LBM}{h^2}

Muscularity index normalised for height.