Scientific Analysis and Presentation of Data

Abstract

Students will get an introduction to the scientific work with data covering all steps from data import from Excel via statistical analyses to producing correct scientific graphical output. Exercises with the software R/RStudio will provide hands-on opportunities to get acquainted with data analysis and presentation in adequate graphs. Field data gathered with Prof. E. Frossard will be used.

Objective

This lecture with exercises gives an introduction to the scientific work with data, starting with data acquisition and ending with statistical analyses as they are often required for a bachelor thesis (descriptive statistics, linear regression, simple analyses of variance etc.). Using open-source R/RStudio software will be the primary focus via a hands-on approach. An imporant aspect will be to learn which graphical representation of data are best suited for the task (how can data be presented clearly and still scientifically correct?)

Content

Tentative Programme: - Introduction - Introduction to 'R' - Data import and graphical presentation - Preparation of own data from field course with Prof. E. Frossard / from 4th semester - Correct and problematic graphical data displays - Statistical distribution and confidence intervals - Statistical tests - Repetition and hands-on applications - Correlation analysis - Linear regressions - Analysis of Variance - Discussion of ANOVA results with Prof. E. Frossard Last week of semester: examination (Leistungskontrolle)

Resources