Introduction to experimental design and basic statistics 2019
23. August, 9:30 until 30. August 2019, 18:00
IGB, Müggelseedamm 310, seminar room
The registration deadline for the event has passed.
This course is suitable for master and doctoral students in all stages of their research, recommendable as early as possible (e.g. useful for designing your first experiment)
Lecturer: Kirsten Pohlmann
The first day of this course is an introduction to R for people without prior R knowledge. People with a solid basic R knowledge can skip the first day.
The actual course will last 5 days from morning to evening and participants are expected to attend all the time.
This course aims at all of you lacking the basics of experimental design and statistics and should be taken as early as possible in your research. The knowledge of this course’s material is a precondition to being entitled to get individual coaching on experimental design and statistics.
You will learn:
- how to design powerful experiments or investigations
- Hypothesis testing and data exploration
- the general logics of statistical analyses,
- to analyse and understand data distributions
- how to choose the adequate statistical test
- how to perform parametrical and non-parametrical analyses of variance, regressions and correlations
This course will not give you detailed explanations on mathematical formulae but teach how to choose and conduct adequate statistical tests. We will use the software R for data analyses and spend quite some time to perform statistical analyses. The course is preceded by a one-day introdction in R for all without prior R knowledge. We will also develop experimental designs for your individual research projects in group work. You may bring your own data to analyse them.