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The Comparison of Independent Data Samples

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Applied Statistics

Part of the book series: Springer Series in Statistics ((SSS))

Abstract

If we know something about the heterogeneity that is to be expected within the population we wish to study, then there are more effective sampling schemes than total randomization. Of importance is the use of stratified samples; here the population is subdivided into relatively homogeneous partial populations (layers or strata), always in accordanee with points of view that are meaningful in the study of the variables of interest. If a prediction of election results is called for, then the sample is chosen in such a way as to be a miniature model of the overall population. Thus age stratification, the relative proportion of men and women and the income gradation are taken into account. Also the work force in a modern industrialized nation can be classified according to occupational Status as, for example, 50% laborers, 35% white-collar workers, 8% self-employed, and 7% civil servants. Stratification for the most part increases the cost of the sample survey; nevertheless, it is an important device.

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  1. Abteilung Medizinische Statistik und Dokumentation im Klinikum, Universität Kiel, D-2300, Kiel 1, Federal Republic of Germany

    Lothar Sachs

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Sachs, L. (1982). The Comparison of Independent Data Samples. In: Applied Statistics. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4684-0123-3_6

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