Authors :
Júlio A. Mabuie
Volume/Issue :
Volume 8 - 2023, Issue 11 - November
Google Scholar :
https://tinyurl.com/2p4ndc74
Scribd :
https://tinyurl.com/5n6van5x
DOI :
https://doi.org/10.5281/zenodo.10250330
Abstract :
This article presents a discussion about the
methods used in experimental statistics, which considers
a case study in which we have experimental units with
unequal sample sizes. For this type of experimentation,
non-observation of certain assumptions underlying the
carrying out of the associated tests is observable, forcing
the researcher to opt for alternative methods. With the
aim of comparing the average pedagogical performance
of students from different groups of students, a database
was considered, made available in three groups of
students according to the distances travelled to school.
Given the observable violation of the assumptions of
equality of variances and normality, for the analysis and
discussion of the results, some non-parametric tests were
described, for multiple comparisons and post-hoc tests,
which are pairwise comparisons of means.
Keywords :
Analysis of Variance, Unequal Sample Size, and Non-Parametric Test.
This article presents a discussion about the
methods used in experimental statistics, which considers
a case study in which we have experimental units with
unequal sample sizes. For this type of experimentation,
non-observation of certain assumptions underlying the
carrying out of the associated tests is observable, forcing
the researcher to opt for alternative methods. With the
aim of comparing the average pedagogical performance
of students from different groups of students, a database
was considered, made available in three groups of
students according to the distances travelled to school.
Given the observable violation of the assumptions of
equality of variances and normality, for the analysis and
discussion of the results, some non-parametric tests were
described, for multiple comparisons and post-hoc tests,
which are pairwise comparisons of means.
Keywords :
Analysis of Variance, Unequal Sample Size, and Non-Parametric Test.
