LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

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

Photo by devilcoders from unsplash

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.… Click to show full 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.

Keywords: methods applied; anova methods; parametric anova; non parametric; test; applied students

Journal Title: Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
Year Published: 2020

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.