Imaginary value for
Maximum real number. Internally represented as
9.99999999999 x 10
Minimum real number. Internally represented as
Internally represented as 3.14159265359.
This category contains probability density functions, and
both cumulative probability functions and their inverses,
for the common probability distributions. These
distributions include the Normal, Binomial, Chi-square,
Fisher, Poisson, and Student's t distributions.
Normal probability density function. Computes the
probability density at the value x, given the mean, μ and
standard deviation, σ of a normal distribution. If only a
single value (x) is supplied, assumes μ=0 and σ=1.
normald([μ, σ,] x)
normald(0.5) and normald(0, 1, 0.5) both return
Cumulative normal distribution function. Returns the
lower-tail probability of the normal probability density
function for the value x, given the mean, μ and standard
deviation, σ of a normal distribution. If only a single value
(x) is supplied, assumes μ=0 and σ=1.
normald_cdf([μ, σ,] x)
normald_cdf(0, 1, 2) returns 0.97724986805.
, the complex number (0,1).
Using mathematical functions