Statistics and Data Analysis

Modulnummer
MN1017
Modulverantwortliche
Matthias Gundlach
Dozenten
  • Matthias Gundlach
  • Frank Recker
  • Kurzbeschreibung

    Course in descriptive and inductive statistics under inclusion of fundamentals of probability theory and using the software R

    Qualifikations- und Lernziele

    Students are aware of the problems with large data and are able of editing and presenting data, in particular using software. They know and understand the basic elements of descriptive statistics and probability theory. In particular they can calculate probabilities and are familiar with elementary distributions. They know the basic ideas of inductive statistics and are able to use them. In particular they are able to apply basic methods for estimations and tests, also using software, correctly and to evaluate their results.

    Lerninhalte
    • Descriptive statistics
    • Basic ideas (measures, frequencies, indices, representation)
    • Regression
    • Fundamentals of probability theory
    • Basic concepts (probability, random variable, distribution, density)
    • Distributions
    • Inductive statistics
    • Estimation of parameters
    • Testing of Hypotheses
    • Analysis of variance
    • Regression analysis
    • Software R
    Moduldauer (Semester)
    1
    Unterrichtssprache
    Deutsch
    Gesamtaufwand
    6 CrP; 180 Stunden, davon etwa 60 Stunden Präsenzzeit.
    Semesterwochenstunden
    4
    Lernformen

    Vorlesung 2 SWS, Übung 2 SWS

    Geprüfte Leistung

    Examination: Qualifying condition: Successful practical work using R Exam

    Häufigkeit des Angebots
    Yearly
    Literatur
    • L. Fahrmeir et al :Statistik. Springer Verlag.
    • S. Ross: Statistik für Ingenieure und Natur-wissenschaftler. Spektrum Akademischer Verlag
    • L.Sachs, J. Hedderich: Angewandte Statistik, Springer
    • D. Wollschläger: Grundlagen der Datenanalyse mit R, Springer
    Voraussetzung für Module