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Walden University Non Parametric Tests Discussion
Non-Parametric Tests
Data that conform to a pattern of distribution are known as “parametric data.” Since the data have a perceivable pattern, the researcher can make certain assumptions about them.
Not all data conform to a pattern, though, and statistics designed for use with those data are known as being “non-parametric.” While they do not come with the assumptions required by parametric tests, they often are not as powerful—having an increased risk of type 2 error—thus they require larger sample sizes.
For this Discussion, you assess the appropriate use of a non-parametric test in research.
With these thoughts in mind:
By Day 4
Post the title of the article you selected. Explain whether the non-parametric test used in the study was appropriate and why. Then, suggest one alternative test that could have been used in the study. Justify the use of the alternative test.
Learning Resources
Predictors of patient satisfaction with hospital health care: EBSCOhost (waldenulibrary.org)