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Abstract

When zeroes (or ties within pairs) occur in data being analyzed with a sign test or a signed rank test, nonparametric methods textbooks and software consistently recommend that the zeroes be deleted and the data analyzed as though zeroes did not exist. This advice is not consistent with the objectives of the majority of applications. In most settings a better approach would be to view the tests as testing hypotheses about a population median. There are relatively simple p-values available that are consistent with this viewpoint of the tests. These methods produce tests with good properties for testing a different (often more appropriate) set of hypotheses than those addressed by tests that delete the zeroes.

Keywords

Sign test Signed rank test paired t-test meaningful zeroes nonparametric

Article Details

Author Biographies

Rajarshi Dey, University of South Alabma

Assistant Professor, Department of Mathematics and Statistics

Justin Manjourides, Northeastern University

Assistant Professor, Department of Health Sciences

Ronald H Randles, University of Florida

Professor, Department of Statistics