probability sample

probability sample
random s.

Medical dictionary. 2011.

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  • Sample (statistics) — In statistics, a sample is a subset of a population. Typically, the population is very large, making a census or a complete enumeration of all the values in the population impractical or impossible. The sample represents a subset of manageable… …   Wikipedia

  • probability sampling — random sampling A sampling procedure in which each element of a population has a known chance of being selected for the sample Apart from simple random sampling, this includes certain forms of stratified sampling and systematic sampling The… …   Big dictionary of business and management

  • Probability theory — is the branch of mathematics concerned with analysis of random phenomena.[1] The central objects of probability theory are random variables, stochastic processes, and events: mathematical abstractions of non deterministic events or measured… …   Wikipedia

  • Sample size determination — is the act of choosing the number of observations to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample …   Wikipedia

  • Sample mean and sample covariance — are statistics computed from a collection of data, thought of as being random.ample mean and covarianceGiven a random sample extstyle mathbf{x} {1},ldots,mathbf{x} {N} from an extstyle n dimensional random variable extstyle mathbf{X} (i.e.,… …   Wikipedia

  • probability theory — Math., Statistics. the theory of analyzing and making statements concerning the probability of the occurrence of uncertain events. Cf. probability (def. 4). [1830 40] * * * Branch of mathematics that deals with analysis of random events.… …   Universalium

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  • Probability axioms — In probability theory, the probability P of some event E , denoted P(E), is defined in such a way that P satisfies the Kolmogorov axioms, named after Andrey Kolmogorov.These assumptions can be summarised as: Let (Ω, F , P ) be a measure space… …   Wikipedia

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