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Statistical Assumptions as Empirical Commitments
Richard Berk, University of California, Los Angeles
David A. Freedman, UC Berkeley Department of Statistics
ABSTRACT: Researchers who study punishment and social control, like those who study
other social phenomena, typically seek to generalize their findings from the
data they have to some larger context: in statistical jargon, they generalize
from a sample to a population. Generalizations are one important product
of empirical inquiry. Of course, the process by which the data are selected
introduces uncertainty. Indeed, any given dataset is but one of many that
could have been studied. If the dataset had been different, the statistical
summaries would have been different, and so would the conclusions, at least
by a little.
SUGGESTED CITATION: Richard Berk and David A. Freedman,
"Statistical Assumptions as Empirical Commitments"
(August 22, 2001).
Department of Statistics, UCLA.
Department of Statistics Papers.
Paper 2001080101.
http://repositories.cdlib.org/uclastat/papers/2001080101
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