CRJ 302 Study Guide - Final Guide: Cluster Sampling, Systematic Sampling, Sampling Frame

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Population: the theoretically specified aggregation of the elements in a study. Sample: a small part or quantity intended to show what the whole is like, to take a sample for analysis. Sampling frame: the list or quasi list of units composing a population from which a sample is selected. If the sample is to be representative of the population, it is essential that the sampling frame include all members of the population. Sample distribution: the distribution of the statistic for all possible samples from the same population of a given size. Sampling error: the difference between the samples of the sample population. The formula for determining sampling error contains three factors: the parameter, the sample size, and the standard error. Sample generalizability: the extent to which the results from the sample study are generalizable to the population at large. Probability sample: the general term for samples selected in accordance with probability theory, typically involving some random selection mechanism.

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