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This Concept Map, created with IHMC CmapTools, has information related to: Inferential statistics, Random variables can follow Other distributions, Probability distributions are characterized by their Variance, Probability distributions are characterized by their Expected value, A Sample generates results containing Errors, Errors can be Random errors, Inferential statistics provides Non-parametric techniques, Estimates from many samples generate A sampling distribution, A Population contains Parameters, Probability distributions include Other distributions, Random variables can follow The Normal Distribution, Parametric techniques are used when populations follow The Normal Distribution, A Sample provides information to obtain Estimates, Random variables can follow The Binomial Distribution, Inferential statistics provides Parametric techniques, Interval estimates are computed using Confidence intervals, Systematic errors cause Bias, A Sample provides estimates of Parameters, A sampling distribution e.g. The sample distribution of the mean of x, Parameters characterize Probability distributions, Errors can be Systematic errors