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Introduction to Statistics with R
Academia Raetica, Fachhochschule Graubünden
General information and fee
Dates: March 9, 10 & March 25, 2022, ONLINE
Times: each date from 10:00-12:00, 13:00-15:00, and 15:30-17:30.
Lecturer: Prof. Dr. Andreas Nicklisch / FHGR
Target audience: primarily PhD students, open to other interested scientists
Course fee for participants from Academia Raetica member or partner institutions: CHF 150. Registration deadline: Tuesday, March 8
External participants: CHF 250
Max. number participants: 12 (min. number participants 8)
Course Coordinator: Daniela Heinen, firstname.lastname@example.org, phone 081 410 60 84
Credit points: This training requires 18 hours of attendance plus approximately 18 hours for preparation and homework. Please check with your supervisor at your university, if the course counts towards ECTS.
Course certificate: You will receive a certificate of attendance, if you attend the entire course.
This course introduces the essentials of statistical analysis for students who have little or some background in statistics, but no programming skills in statistical software. Fundamental programming skills in R including analysis as well as (graphical) presentation are provided. Each block includes lectures and tutorials.
– Mathematical priors
– Hypothesis testing
– Densities and distributions
– Moments of a distribution
Single sample analysis
– Convergence in distribution
– Confidence intervals
– Tests for point estimations
– Two-sample moments
– Parametric moment hypothesis tests
– Non-parametric moment hypothesis tests
– Multiple linear regressions
– Generalized regression models
– Specification problems
Time series analysis
Binary and categorical response data
Count and proportional data
Death and failure data
Crawley, M. J. (2014). Statistics: an introduction using R. Second Edition: John Wiley & Sons.
About the trainer
Andreas Nicklisch is is a behavioral and experimental economist. Since 2016, he is a Professor for Economics and Statistics at the Center for Economic Policy Research at the University of Applied Sciences of the Grisons, Chur, Switzerland. His latest work is focused on behavioral institutional designs that enhance the cohesion of cooperation within societies, and the effect migration for social norms and values.
He graduated in Economics at the University of Jena, Germany, in 2002 and received his Ph.D. in Economics from the Max Planck Institute of Economics, Jena, in 2005. The same year, he joined the Max Planck Institute for Research on Collective Goods, Bonn, Germany, as a Research Affiliate. In 2010, he became Assistant Professor for Microeconomics at the School of Economics and Social Sciences of the University of Hamburg, Germany.