This 4-day elementary course illustrates the basic principles of statistical data-analysis in a non-mathematical way. Each lesson is a combination of theoretical introductions and hands-on computer practicals using SPSS and R.
The course is offered in-class.
Part 1: Underlying concepts of statistics
- Types of variables
- Descriptive statistics
- Normal distribution
- Parameter estimation
Part 2: Hypothesis testing
- Principles of a hypothesis test
- Type 1 and Type 2 error
- Power analysis and sample size calculation
- Parametric and non-parametric testing
- t-test, anova and non-parametric alternatives
- Chi-square test
- Simple linear regression
Target audience / prerequisites
Pre-and postdoctoral students from all fields of research.
No previous experience with SPSS, R or statistical techniques is required.
PhD student ADS
Course structure and time schedule
This 4-day course will take place in June 2023, in Campus Groenenborger Z.421.
June 12 from 9.30 am till 4.30pm.
June 13 from 12.30 am till 5.30pm.
June 14 from 9.30 am till 4.30pm.
June 15 from 9.30 am till 4.30pm.
All rooms are equipped with a desktop PC with SPSS and R installed. There is no need to bring your own laptop.