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NormalDistribution

NormalDistribution[Mu, Sigma]
represents a normal (Gaussian) distribution with mean mu and standard deviation sigma.
NormalDistribution[]
represents a normal distribution with zero mean and unit standard deviation.
  • The probability density for value x in a normal distribution is proportional to ⅇ^(-(x-mu)^2/(2sigma^2)).  »
The mean and variance of a normal distribution:
Probability density function:
Generate a set of pseudorandom numbers that are normally distributed:
Properties based on higher-order moments:
The q^(th) quantile of a normal distribution:
Compute p-values for a z-test with alternative hypothesis X<z:
Alternative hypothesis X>z:
Alternative hypothesis |X|>z:
Plot the cumulative distribution function of the random variable:
A contour plot as both x and sigma are varied:
Normally distributed points in the plane:
Normally distributed points in 3D:
Its probability density function integrates to unity:
StudentTDistribution goes to a normal distribution as nu goes to infty:
LogNormalDistribution is logarithmically related to NormalDistribution:
HalfNormalDistribution density is proportional to NormalDistribution for positive values:
NormalDistribution is not defined when mu is not a real number:
NormalDistribution is not defined when sigma is not a positive real number:
Substitution of invalid parameters into symbolic outputs gives results that are not meaningful:
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