Statistik II Vorlesung 6: Voraussetzungen (non)-parametrischer Tests, deren Prüfung & Korrektur

We will examine the prerequisites of parametric tests, such as equal variances and normal distribution of the dependent variable. To do this, we will learn what a desired hypothesis is and how to test these prerequisites graphically or with statistical tests. Keywords: Shapiro-Wilk, rain cloud plot, Levene. If these prerequisites are violated, we can then resort to non-parametric tests or corrections. Keywords: Welch, bootstrapping, and Mann-Whitney U. We will practice all of this again in JASP using the example of the t-test for independent samples. Shout-Outs ========= Statistics Made Easy https://jasp-stats.org https://hosted.weblate.org/projects/jasp https://www.jamovi.org https://hosted.weblate.org/projects/j... Citing Made Easy https://www.zotero.org Video Editing Made Easy https://obsproject.com https://kdenlive.org