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Wilcoxon's signed-rank statistic: what null hypothesis and why it matters.
1Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, 20993, USA.
Pharmaceutical Statistics
|June 20, 2014
Summary
The Wilcoxon signed-rank test is often ambiguous, referring to two different statistical tests. This study proposes distinct names for the test for symmetry and the test for median to improve clarity in statistical literature.
Area of Science:
- Statistics
- Statistical inference
- Hypothesis testing
Background:
- The term "signed-rank test" (Wilcoxon signed-rank test) is used for two distinct statistical tests.
- This ambiguity can lead to confusion in statistical analysis and interpretation.
Purpose of the Study:
- To propose distinct terminology for the two tests currently referred to as the "signed-rank test".
- To differentiate between the test for symmetry of distribution and the test for the median of a symmetric distribution.
Main Methods:
- Review of statistical literature concerning signed-rank tests.
- Comparative analysis of the test for symmetry based on signed-rank statistic and the test for median based on signed-rank statistic.
- Examination of the relationship between signed-rank tests, sign test, and one-sample t-test.
Main Results:
- The signed-rank statistic is utilized in two separate statistical tests: one for distribution symmetry and another for the median of a symmetric distribution.
- The proposed distinct names are "test for symmetry based on signed-rank statistic" and "test for median based on signed-rank statistic".
Conclusions:
- Adopting distinct terminology for these two tests will enhance clarity and reduce ambiguity in statistical practice.
- The proposed nomenclature facilitates a better understanding of the tests' connections and contrasts with related statistical methods like the sign test and one-sample t-test.
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