The gamma distribution is either a two parameter or three parameter family of continuous probability distributions.

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The Johnson distribution, like the Box-Cox distribution is the resultant distribution after applying a transformation to normalize non-normal data.

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The Normal distribution is one of the most popular distributions as it can be applied to most walks of life. Body weight, Height, Blood Pressure are examples of variables that follow a Normal Distribution.

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The distribution free process performance module is used only when it is impossible to fit a known distribution.

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The Weibull distribution is a continuous probability distribution named after the Swedish mathematician Waloddi Weibull.

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The truncated normal distribution is the probability distribution is obtained by bounding the random variable from a normal distribution either below the mean or above the mean or both.

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The logistic distribution is a continuous probability distribution resembling a Normal Distribution, but with heavier tails.

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A log-normal distribution is a heavily right-skewed distribution of a random independent variable whose logarithm is normally distributed.

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The folded normal distribution is the resulting distribution for absolute values coming from a normal distribution.

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The Normal distribution has for decades, prior to modern computing power, been the most popular distribution even though real-world data does not follow the Normal-Distribution exactly.

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The extreme value distribution is a two-parameter distribution where the random variable is either the maximum, or minimum of the data sets.

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The Box–Cox distribution, aka a power distribution, is the resultant distribution after applying a Box-Cox transformation.to normalize non-normal data. The transformed data is truncated Normal distribution.

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