Introduction to Applied Statistics

Angelo Valleriani (MPIKG)

Statistics is a must-needed set of tools in experimental sciences. There is almost no study in which methods from statistics are necessary and their justification is required for a good level publication. Despite the availability of a number of powerful and sophisticated software, it is not always obvious what analysis approach is needed in any particular case if one does not have an introductory level background in the matter. This one semester course will cover a few of the fundamentals in statistics. The course will start with a summary of probability theory. In a second part we will move on to cover methods for estimating means and proportions by defining and computing confidence intervals. In a third part we will discuss methods for hypothesis testing for means and proportions using rejection region, p-value and confidence interval approaches. The tools discussed in the class will be the most used ones in everyday work with experimental data (including z-test, t-test, ANOVA, linear regression). More advanced tools (permutations, bootstrap, nonparametric) will be discussed only superficially. The course won't refer to any particular software but people used to work with any given software are welcome to use it in order to solve the exercises.
 
Everyone interested is welcome to join.
This course will be available online only.
The first lecture will take place on November 11, 2020.
 
To join use the following link and insert your full name when joining:
 
Meeting link:
https://mpikg.webex.com/mpikg/j.php?MTID=m04dfa0ef78aaab9cdffbfbdaaee6a20a
Meeting number: 137 514 6340
Password: jXPh5MPad26
Host key: 294114