Dear Colleagues, I am pleased to announce my "Think statistics!" course (more info at https://training.vbcf.ac.at/training/rstat.php ) The main aim of this course is to teach you to how to approach data analysis problems with classical statistics. We will focus on the intuition behind statistical methodologies, rather than on mathematical details. Should you attend this course? Test your knowledge first at https://training.vbcf.ac.at/training/selftest.php ! TOPICS: - Sampling theory: obtaining information about a population via sampling. Sample characteristics (location, dispersion, skewness). - Central Limit Theorem and the Normal distribution. - The distribution of the sample mean. Confidence interval of the mean. - Basic principles of hypothesis testing. "Student"'s t-test. - Type I and Type II errors. P-value distributions. Power calculations. - "Cookbook of tests": distribution tests (Shapiro, Kolmogorov-Smirnov), parametric and non-parametric tests (e.g. Wilcoxon), counting statistics, contingency tables (chi-square test), correlation tests. OUT OF SCOPE: ANOVA, or analysing your own data. SCIENTIFIC PREREQUISITES: - Basic probability concepts. - Ability to work with (continuous) probability distributions. PROGRAMMING KNOWLEDGE: Basic familiarity with R is of advantage but not mandatory. It helps to understand the hands-on examples. DATE/TIME: 21st-22nd September (Monday-Tuesday), from 09:00 to 13:00 on both days. LOCATION: IMP seminar room E-016. Remote attendance is offered to colleagues outside the VBC. COST: free of charge. HOW TO REGISTER: 1) Check your calendar. *** If you register but don't attend, you are taking away a place from a colleague! *** 2) Ask your supervisor for permission to attend. 3) Inform your supervisor that you won't be available during the course. (No last-minute forgotten lab meetings etc! :-) ) 4) Open this URL: https://training.vbcf.ac.at/training/schedule.php Click on the [REGISTER] button and fill out the form. Use an Austrian academic email address. Please specify your job type (e.g. “PhD student”) correctly. Thank you, András