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Activity Number: 486 - Computing Kaleidoscope
Type: Contributed
Date/Time: Wednesday, August 1, 2018 : 8:30 AM to 10:12 AM
Sponsor: Section on Statistical Computing
Abstract #328878
Title: On Consistency and Limitation of Parametric and Non-parametric Paired Sample Tests
Author(s): Tanweer Shapla* and Khairul Islam
Companies: Eastern Michigan University and Eastern Michigan University
Keywords: Tests of paired samples; Skewness; Correlation; Parametric and Non-parametric tests; Power

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.

Authors who are presenting talks have a * after their name.

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