WARNING:
JavaScript is turned OFF. None of the links on this concept map will
work until it is reactivated.
If you need help turning JavaScript On, click here.
Cette carte de concepts créée avec IHMC CmapTools traite de: ProbabilityDistributions1, Continuous Lognormal (theta,omega), positive, skewed right Gamma (r,lambda), Discrete Geometric (p), Discrete Pascal (r,p), standardized value (z) x=z*sigma+mu population value (x), Continuous Weibull (theta,beta), Binomial (n,p) np > 10 0.1<= p <= 0.9 Normal (mu,sigma), standardized value (z) cumulative probability function probability, Sums of Random Variables Central Limit Theorem Normal (mu,sigma), standardized value (z) x=z*sigma+mu population value (x), Standard Normal describes standardized value (z), finite, no central peak Uniform (a,b), Hypergeometric (n,N,D) n/N < 0.1 Binomial (n,p), population value (x) z=(x-mu)/sigma standardized value (z), Normal (mu,sigma) log(x) Lognormal (theta,omega), positive, skewed right Lognormal (theta,omega), Pascal (r,p) r=1 Geometric (p), Continuous Uniform (a,b), positive, skewed right Weibull (theta,beta), standardized value (z) x=z*sigma+mu population value (x)