This paper describes the comparison of the anova and the KruskalWallis test by means of the power when violating the assumption about normally distributed populations. The permutation method is used as a simulation method to determine the power of the test. It appears that in the case of asymmetric populations the non-parametric Kruskal-Wallis test performs better than the parametric equivalent...

Abstract. This paper studies the effect of deviating from the normal distribution assumption when considering the power of two many-sample location test procedures: ANOVA (parametric) and Kruskal-Wallis (non-parametric). Power functions for these tests under various conditions are produced using simulation, where the simulated data are produced using MacGillivray and Cannon’s [10] recently sugg...

We present a parameter free and monotonic alternative to the parametric variable precision model of rough set data analysis, based on the well known PRE index λ of Goodman and Kruskal. Using weighted (parametric) λ models we show how expert knowledge can be integrated without losing the monotonic property of the index. Based on a weighted λ index we present a polynomial algorithm to determine a...

Statistical tests are powerful tools for data analysis. Kruskal-Wallis test is a non-parametric statistical test that evaluates whether two or more samples are drawn from the same distribution. It is commonly used in various areas. But sometimes, the use of the method is impeded by privacy issues raised in fields such as biomedical research and clinical data analysis because of the confidential...

A workshop in environmental sustainability was organized to develop the skills and competencies mitigating climate change, adapting risk management, managing waste, sustainable human settlements using transport, developing of reducing CO2 emissions, conserving energy ecosystem, & educating people. The study aimed compare current opinion participants sustainability. After a short notification pr...

Methods Individuals who underwent clinical genetic testing for Lynch syndrome at Dana Farber Cancer Institute were enrolled in a longitudinal questionnaire study eliciting information on perceived cancer risk, cancer worry, cancer screening and health behaviors prior to testing and after a clinical visit at which genetic test results were disclosed. Level of genetic test specific distress was a...