Non-Parametric Anova Methods Applied on Students' Performance Development in Course of Statistics

Abstract

This study intends to use non-parametric statistical methods for comparison of mean values in assessing the changes of overall grades in basic statistics at the College of Polytechnics in Jihlava. The data covering students' grades were transferred to the ordinal scale and evaluated with the use of the corresponding non-parametric statistical methods, due to failing the data normality test. In order to identify statistically significant grade differences over the years 2006–2018, we have used the test of equality of means as well as the relevant analyses of variance, i.e. the Mann-Whitney U test to compare two samples, the Kruskal-Wallis test to compare multiple samples, and the post hoc analysis. All tests that were carried out confirm that on average, women and Finance and Management students tend to achieve better grades in statistics, as opposed to men, and Travel and Tourism students. Mean grades have rather fluctuated over the years. In the beginning (2006–2009) and in the end (2014–2017) of the observed period the grades have been significantly superior to the grades in the in-between stage (2010–2013). The identified fluctuation in grades shall lead to implementation of measures aimed at achieving an overall increase in statistics' education quality and students' grades.

State of the Art on Statistical Education and the Consideration of Individual Differences of Students

“…• Con relación a la actitud: esta influye en la nota y la culminación de un curso; hay más actitudes positivas por parte de los estudiantes de carreras relacionadas con las ciencias, la tecnología, la ingeniería y las matemáticas (STEM), en comparación con las actitudes de los estudiantes de carreras como la jurisprudencia, la psicología o la medicina (Zámková et al, 2020). • Con relación al género se encuentran resultados que son y no son significativos.…”