Important Dates

Time: 14. May: 08:00 am - 08:30 am / 21. May & 28. May: 08:00 am- 08:45 am
Trainer: Daniela Keller
Language: English
Registration: 14. April 2025 until 04. May 2025
Deregistration: until 04. May 2025

for members of the University of Bayreuth Graduate School via BayDOC
for Postdocs+ (= postdocs, habilitation candidates, junior research group leaders and junior professors (with and without tenure track)) via WiN-UBT portal

Description

In this Basic Statistics Course you will learn the basics of statistical data analysis for your research projects. The course is application based and will empower you to improve your study planning and get more confident with your statistical analysis.

It contains the following topics:

• Design of experiments / study design
• Data collection and entry
• Structure of statistical analysis
• Significance tests
• Choosing the appropriate statistical method
• Paired and unpaired data
• Level of measurement / variable type
• Checking of assumptions and normality
• Effect size measures
• Sample size calculation and power analysis

The course is organized with self-learning material (short videos, handout and exercises) and two live and online Q&A sessions. After a short kick-off meeting you watch the videos and do the exercises at your own pace. During this time, you can pose your questions in a chat. Within an interval of one week we meet for two Q&A sessions online, where you can ask questions concerning the topics or your own projects.

For reasons of respect and fairness towards all participants and the workshop leaders, participants who miss more than 10% of the workshop are considered not to be present. You will therefore not receive a certificate and you will not be able to use the workshop in question to unlock funds or acquire further qualifications.

Before you register, please confirm with your supervisor/ employer that you are free to participate in the course on that date.