Misconceptions Leading to Choosing the t Test Over the Wilcoxon Mann-Whitney Test for Shift in Location Parameter
By Shlomo S. Sawilowsky. 2005
111 citations recorded by the source corpus.
Sawilowsky, S. S. (2005). Misconceptions leading to choosing the t test over the Wilcoxon Mann-Whitney U test for shift in location parameter. There exist many misconceptions in choosing the t over the Wilcoxon Rank-Sum test when testing for shift. Examples are given in the following three groups: (1) false statement, (2) true premise, but false conclusion, and (3) true statement irrelevant in choosing between the t test and the Wilcoxon Rank Sum test.
Subfields: Food Science, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/2ad36a9d14e6ba10ba9b036da81bf7a83b4770a3
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In Management Science and Operations Research
In Statistics and Probability
Citations in the corpus
- Comparison of the t vs. Wilcoxon Signed-Rank Test for Likert Scale Data & Small Samples (2007, background): “Sawilowsky (1991) pointed out that there are no hard and fast rules for choosing between parametric and nonparametric procedures and Sawilowsky (2005) presented a summary of misconceptions regarding such choices.”
- Logistics agglomeration in the US (2014, background): “Sawilowsky (2005) claimed that it is a mistake to choose the t-test over the WRST when the interest is to test the shift in location parameters, because it can be non-robust.”