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Cette carte de concepts créée avec IHMC CmapTools traite de: Probability Distributions, Percentile inverse cumulative probability function standardized value (z), standardized value (z) x=z*sigma+mu population value (x), Sums of Random Variables Central Limit Theorem Normal (mu,sigma), Random Variable with uncountable values is Continuous, Random Variable assigns values to Random Events, Continuous Exponential (lambda), Continuous Lognormal (theta,omega), finite, no central peak Uniform (a,b), Discrete Binomial (n,p), Discrete Geometric (p), standardized value (z) cumulative probability function probability, Random Variable with countable values is Discrete, Discrete Pascal (r,p), Random Events are Possible Outcomes, Normal (mu,sigma) Standard Normal, Normal (mu,sigma) describes population value (x), standardized value (z) cumulative probability function probability, standardized value (z) x=z*sigma+mu population value (x), population value (x) z=(x-mu)/sigma standardized value (z), Discrete Hypergeometric (n,N,D)