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# 701-0105-00L  Applied Statistics for Environmental Sciences

 Semester Autumn Semester 2016 Lecturers C. Bigler, U. Brändle, M. Kalisch, L. Meier Periodicity yearly recurring course Language of instruction German

 Abstract Statistical methods from current publications in environmental sciences are presented and applied. Students are enabled to understand the methods, clean datasets, analyse them using the software package R and present the results in a suitable form. They will be able to describe strengths and weaknesses of the methods for given fields of application. Objective Students are able to- use suitable statistical methods for data analysis in their subject area.- characterize data sets using explorative methods- check the suitability of data sets to answer a given question, prepare data sets for import to a statistics program and conduct the analysis.- interpret statistical analyses and process them graphically for use in presentations and publications.- describe the basics of statistical methods used in current publications.- use the software package R for statistical analysis Content Statistische Methoden: Regression (lineare Modelle; generalisierte lineare Modelle; GLMs); Varianzanalyse; gemischte Modelle für gruppierte Daten (mixed-effects models); Fragebogenstatistik; Tests (t Test; Chiquadrat Test; Fisher Test); Power-AnalyseWerkzeuge: Explorative Datenanalyse für Hypothesenbildung; Auswahlverfahren für geeignete statistische Verfahren; Datenaufbereitung (Excel -> R; Datenbereinigung); graphische Darstellung von Resultaten; statistische Verfahren in Publikationen erkennenWir arbeiten mit dem Softwarepaket R.Form: Im Wochenrhythmus finden alternierend Einführungen in eine neue Methode und Übungsstunden zum Thema statt. Prerequisites / Notice Besuch von "Mathematik IV: Statistik" oder vergleichbare Lehrveranstaltung