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Activity Number:
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486
- Computing Kaleidoscope
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2018 : 8:30 AM to 10:12 AM
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Sponsor:
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Section on Statistical Computing
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Abstract #328878
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Title:
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On Consistency and Limitation of Parametric and Non-parametric Paired Sample Tests
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Author(s):
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Tanweer Shapla* and Khairul Islam
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Companies:
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Eastern Michigan University and Eastern Michigan University
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Keywords:
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Tests of paired samples;
Skewness;
Correlation;
Parametric and Non-parametric tests;
Power
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Abstract:
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A paired t-test is a very common test for before-after measurements under the assumption that the difference of the before-after measurements form a sample form a normal distribution. In the violation of normality assumption, the popular alternatives are non-parametric sign test or signed rank test. How do these tests behave in the presence of varying skewness or varying correlation in the paired population? In this paper, we carry out a simulation study to evaluate the consistency and limitations of various tests of paired samples due to varying skewness and correlation in the paired populations from beta, exponential and gamma distributions.
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Authors who are presenting talks have a * after their name.
