Content description
Here is the list of topics that you will better understand after that workshop:
- Variability as the basis of statistics, what can we learn from our small sample
- Null Hypothesis Significance Testing (NHST), P values and confidence intervals
- Outlier tests and tests for normality and when we need them
- Finding minimum sample sizes
- False positive and false negative results and statistical power to control for error rates
- Testing for differences vs. testing for equivalence
- Statistical error bars, how to read a scientific figure and scientific data presentation
- Analysis of Variance (ANOVA) und Post-Hoc Tests
The aim of this workshop to get an understanding on how most frequently used statistical tools work and how to correctly apply them and to avoid common statistical errors. The broader aim, of course, is to support you to conduct better science and being more confident in applying statistics to gain knowledge about the research topic that you are working on.
There is no statistical background necessary to attend this workshop. Furthermore, no statistical software is required. Whoever is interested in better understanding the foundations of statistics by playing little games instead of reading heavy books, broadening their view on statistical topics or getting more detailed information about them, is very welcome. Whether you have just started your PhD, writing up your thesis or wanting a better statistical basis for your future career, this workshop will be helpful for you.
Dates
March 4, 2025 (09:00 am – 12:30 pm)
March 6, 2025 (09:00 am – 12:30 pm)
March 11, 2025 (09:00 am – 12:30 pm)
March 13, 2025 (09:00 am – 12:30 pm)
Overview
| Trainer | Peter Heym |
| Format | online |
| Fee | no fees for members of TUBAF |
| Language | English |
| Credit Points | 0,5 |
| Work unit (AE) | 16 |
| Financially supported by |
Dr. Erich-Krüger-Stiftung |
| Registration Deadline | March 3, 2025 |
Here you can register for the course.
Please complete the form carefully. Your data will be used for the course organisation.