Applied statisticsOrganization logo: Wageningen University & Research

About this course

In general, the course aims to reach the following end terms: Knowledge: knowledge on basis statistical data analysis techniques Skills: the student will be able to translate a research question into a statistical problem, which he/she can solve using basic statistical methods. In particular, these methods are related to the analysis of means (e.g. t-tests, ANOVA) and regression analysis.
The student will be capable of performing the data analysis, and of interpreting the results, and he/she will be able to translate these conclusions back to the context of the original research question.

  • descriptive statistics (means, medians, percentiles, …);
  • some common distributions: normal,
  • binomial, multinomial;
  • basics of statistical inference:
  • confidence intervals and statistical hypothesis tests;
  • statistical tests for association in
  • contingency tables;
  • comparison of 2 means (t-test and mann-whitney test);
  • comparison of k means (f-test and
  • kruskal-wallis test);
  • multiple comparison of means (tukey, bonferroni,..);
  • 2-way anova and interaction;
  • multiple way anova;
  • simple and multiple regression analysis.

Learning outcomes

After successful completion of this course students are expected to be able to:

  • understand the basics of statistical data exploration and statistical inference;
  • perform basic statistical data analyses using the software R;
  • recognise important problems in the study design/analyses and knows how these may affect the conclusions from the statistical data analysis;
  • correctly report the results of a statistical data analysis in a scientific report.

Prior knowledge

Assumed Knowledge:
A basic knowledge of calculus and probability theory (random variables, probability and distributions) is required.

  • Code
  • Credits
    ECTS 5
  • Contact coordinator
If anything remains unclear, please check the FAQ of Wageningen University.


  • Start date

    1 september 2022

    • Ends
      31 augustus 2023
    • Term *
      Academic Year
    • Location
    • Instruction language
  • Start date

    1 september 2023

    • Ends
      31 augustus 2024
    • Term *
      Academic Year
    • Location
    • Instruction language
    • Register between
      1 Jun, 23:59 - 15 Jul 2024
    Enrolment starts in 9 days
These offerings are valid for students of TU Eindhoven