presented by Dr. Peter Paul Heym (Sum Of Square)
Date: 27 & 31 March 2023
Time: 9:00 am to 4:00 pm
Format: Online Webinar (Zoom)
Organized by RTG 2498 & RTG 2467
The workshop covers a spectrum of basic concepts of statistics that are necessary to apply good scientific practice in one’s own research and trains the ability to critically question one’s own results as well as the results of others. The focus of the workshop is not on theoretical treatment of the described topics, but on conducting practical experiments to provide participants with experience and statistical understanding in an application-oriented manner.
// Content and Topics
- Introduction to Statistical Thought – statistical samples & how to live with Variability and Randomness How P values, confidence intervals and significance levels are connected
- What if we were wrong? –type I & II errors, statistical power, effect size and practical significance Statistical power analysis – balancing sample size and variability
- More on tests of Significance – different tests for different questions
- How to read scientific figures? rules of presenting data graphically
- Comparing more than two means – Introduction into Analysis of variance (ANOVA) and Post-Hoc Tests Introduction to Design of Experiments – how to minimize experimental runs and costs
// Organization Details
- The workshop will consist of lectures, working examples and practical exercises, each covering roughly one third of the course time.
- Issues of current interest can be included to the workshop upon request.
- The number of participants is limited to a maximum of 25.
- All participants will receive a certificate of participation.
- The virtual seminar will be held in English.
- The zoom link will be forwarded the week before the event takes place
The participation in this webinar is elective for internal and associated PhD students of RTG 2498 and RTG 2467. Furthermore, members of the Martin-Luther-University Halle-Wittenberg (MLU) related to Institutions of Natural Sciences are welcome to take part if free spots are available.