Normal probability distribution


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Normal probability distribution

A probability distribution for a continuous random variable that forms a symmetrical bell-shaped curve around the mean. This distribution has no skewness or excess kurtosis.
References in periodicals archive ?
For the normal probability distribution the dispersion of the stochastic process will be equal to D = 6[sigma].
Parametric tests are used to test parameters that conform to the strict condition of a normal probability distribution.
This formulation and the second assumption allow common statistics formulas for normal probability distributions to be used to solve the problem.
In the normal ogive model the link function between given ability level p and the probability is standard normal probability distribution function (Uebersax 1999):
The text begins with basics such as binomial, Poisson, and normal probability distributions, then progresses to more advanced topics such as log normal probability distributions, error functions, and logit transforms.