Non parametric tests - Samenvattingen en Aantekeningen

This is a summary for the course Statistics for Business and Economics that is given in the second semester of the second semester. This summary is based on the lectures, notes and the book "Business Statistics"

This document contains answers for the assignment SPSS 8 of week 6 - NON-PARAMETRIC TESTS - for the course Research and Statistics 7U9X0 (old form) - Quantitative Research Methods and Statistics 7U0B20 (new form).

This summary is based on all the content of the course Intermediate statistics 1 from EUC and summarizes the material discussed in the book and lectures.

Overview of all statistical tests of both the courses Statistics 1 & Statistics 2. E.g. including the tests: Chi2, ANOVA, linear regression and non-parametric alternatives. Each test is accompanied by the associated cases, variables, objectives and requirements, which you can base the three key questions on.

Summary for Research in Biomedical sciences AB_1136 about inferential statistics; Hypothesis testing with binomial, pearsson, (two-sample) Z, (two-sample) T tests, Wilcoxon etc.

Summary of lecture notes of research in biomedical sciences, 1st year course biomedical sciences (biomedische wetenschappen). Summary includes the basics of different parametric and non-parametric statistical techniques, hypothesis testing and research methods.

Samenvatting van het vak Statistics for EOR gegeven in het tweede jaar van EOR op Tilburg University. De samenvatting gaat over elk onderwerp, behalve MLE's etc. zijn er niet in opgenomen, omdat dit al geleerd is bij het inleidings vak.

An overview of theory of the course Statistics: a combination of notes from the lectures, seminars, practicum assignments, and the powerpoints. Furthermore it includes an overview of functions used in R, and formulas and abbreviations.

Summary Research in biomedical sciences (AB_1142) (week 4-8)

Samenvatting van alle lectures, assignments en interem tests van de course 'Research and Statistics' met handig overzicht van alle parametric en non-parametric tests met de belangrijkste eigenschappen.