Criterion for the validation of normality in small samples; parametric or nonparametric tests
DOI:
https://doi.org/10.63728/riisds.v7i1.214Keywords:
normality test, parametric tests, nonparametric testsAbstract
Parametric studies start from the assumption that they come from a normal distribution, while nonparametric methods are the most immediate way to solve the problem of lack of normality in a sample. The objective of the study was to compare the parametric studies against the non-parametric ones in a general way, showing, on the one hand, the graphic technique that is used in parallel with the numerical methods technique for checking the normality of the sample and a comparative table with the characteristics of the two statistical methods. And on the other hand, a decision diagram to process the sample when it does not comply with normality. It was concluded that the application of the various parametric and non-parametric tests will depend on the characteristics of the variable under study, whether the proportion of the sample and the scale of measurement of the data is higher or lower.
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