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This Concept Map, created with IHMC CmapTools, has information related to: Inferential statistics, Random variables can follow The Binomial Distribution, Inferential statistics is based on the notion of Probability, A Sample generates results containing Errors, Estimates e.g. Interval estimates, A Sample provides information to obtain Estimates, Parameters are estimated through Sample statistics, Estimates of parameters allow the analyst to make Inferences, The Normal Distribution can approximate The sample distribution of the mean of x, A sampling distribution e.g. The sample distribution of the mean of x, A Sample has information to calculate Sample statistics, The Normal Distribution can approximate The Binomial Distribution, Random variables can follow The Normal Distribution, Inferential statistics allows the analyst to study A Population, A Sample provides estimates of Parameters, Probability distributions are characterized by their Variance, Parametric techniques are used when populations follow The Normal Distribution, Inferential statistics provides Parametric techniques, Probability distributions are characterized by their Expected value, Inferences are carried out through Hypothesis testing, Random variables can follow Other distributions