Outliers in Statistical Analysis: Basic Methods of Detection and Accommodation.Report as inadecuate




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Researchers are often faced with the prospect of dealing with observations within a given data set that are unexpected in terms of their great distance from the concentration of observations. For their potential to influence the mean disproportionately, thus affecting many statistical analyses, outlying observations require special care on the part of the researcher. It is suggested that decisions about how to go about discarding or incorporating such outliers be made with careful consideration as to the implications associated with the various procedures for doing so. Several methods for dealing with outliers are illustrated. (Contains 2 tables and 10 references.) (Author/SLD)

Descriptors: Identification, Statistical Analysis











Author: Jacobs, Robert

Source: https://eric.ed.gov/?q=a&ft=on&ff1=dtySince_1992&pg=8095&id=ED450151







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