SoSe 23  
School of Busin...  
Statistics  
Course

SoSe 23: Module offerings

Statistics

0191d_m30
  • Einführung in die Statistik (Introduction to Statistics)

    0171dA1.6

    learning objectives:
    Students gain basic knowledge of information reduction when dealing with one-dimensional and multidimensional data on different measurement levels (“descriptive statistics”). Students also learn how to use the tools of probability theory to deal with the randomness of statistical information. Based on the concept of probability, students learn to derive the concept of random variables. In addition to learning about basic concepts and definitions, students also learn how to describe important distribution models. Students also use software to display central statistical concepts, such as the dispersion of results within a distribution model. They learn to process simple statistical analyses themselves using a computer. The module integrates intercultural and international diversity as a cross-sectional topic that students should be aware of when it comes to research methods and evaluations.

    course content:
    One-dimensional and multidimensional empirical distribution, principles of probability theory, random variables, ratios and indices, discrete distribution models.

    language of instruction:
    German/English

    workload
    180 hours (6 ECTS)

    duration / frequency

    one semester / every summer semester

    close
    • 10120401 Lecture
      Introduction to Statistics (V) (Jan Marcus)
      Schedule: Di 10:00-12:00 (Class starts on: 2023-04-18)
      Location: HFB/C Hörsaal (Garystr. 35-37)
    • 10120402 Practice seminar
      Introduction to Statistics (Ü) (Lisa Hanzl)
      Schedule: Mi 14:00-16:00 (Class starts on: 2023-04-19)
      Location: HFB/A Hörsaal (Garystr. 35-37)
    • 10120405 Tutorial
      Introduction to Statistics (T) (Tutoren)
      Schedule: Mi 08:30-10:00, Do 12:00-14:00, Do 16:00-18:00, Fr 08:30-10:00, zusätzliche Termine siehe LV-Details (Class starts on: 2023-04-26)
      Location: HFB/C Hörsaal (Garystr. 35-37)
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