Statistical Literacy
Summary
| Course | Statistical Literacy |
|---|---|
| Instructor | Dr. Darina Czamara |
| Date | 23.01.2024 - 24.01.2024 |
| Time | 9:30 - 15:00 |
| Duration | 16 hours (à 45 min.) |
| Type | In-person |
| Location | Room 310, MPI-P |
| ECTS | 0.5 |
Course description:
Statistical literacy is crucial for research – not only to understand research publications but also to be able to plan and analyse your own experiments. In this course we will give an introduction into important statistical concepts, starting from very basic statistics to more advanced techniques.
Content:
- Descriptive statistics
- Distributions
- Statistical Estimation: point estimation and confidence intervals
- Hypothesis testing: test-statistics, one-sided and two-sided p-values, multiple testing correction, type I and type II errors
- Dealing with more than one sample: from one-sample to two-sample tests, ANOVA
- Dealing with more than one quantitative variable: correlation, regression
Learning outcomes:
This course provides an overview of basic statistical concepts. After this course, you should be able to grasp the idea behind basic statistical techniques and to research further details of the presented methods if needed.
About the trainer
Dr. Darina Czamara is a biostatistician who obtained her doctoral title at the LMU, Munich. Since 2014 she is leading the team “Translational Genomics” at the Max-Planck-Institute of Psychiatry and has been involved in a variety of omics studies and publications.
Please register via imprs-tp@psych.mpg.de