Studies investigating the power of parametric as compared to nonparametric tests usually show a power advantage to parametric tests. A recent paper, however, found the Mann-Whitney U to be more powerful than the student's t test with exponentially distributed data. The present study demonstrated that simple transformations of skewed data cause the t test to be more powerful than the U test. The data transformations used also produce better Type I and Type II error rates while maintaining a specific null hypothesis / acase@tulane.edu
| Identifer | oai:union.ndltd.org:TULANE/oai:http://digitallibrary.tulane.edu/:tulane_24482 |
| Date | January 1983 |
| Contributors | Rasmussen, Jeffrey Lee (Author) |
| Publisher | Tulane University |
| Source Sets | Tulane University |
| Language | English |
| Detected Language | English |
| Rights | Access requires a license to the Dissertations and Theses (ProQuest) database., Copyright is in accordance with U.S. Copyright law |
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