Introduction to Statistics II: Workshop R

  • Teaching

    Details

    Faculty Faculty of Management, Economics and Social Sciences
    Domain Business Informatics
    Code UE-EIG.01008
    Languages
    Type of lesson Lecture
    Level Bachelor
    Semester SS-2027

    Title

    French Introduction à la statistique II : Atelier R
    German Einführung in die Statistik II: R-Workshop
    English Introduction to Statistics II: Workshop R

    Teaching

    Teachers
    • Leuenberger Christoph
    Description

    This workshop consists of a tutorial and a quiz, both of which are available on a Moodle site. You can complete the tutorial and take the quiz entirely online from home. During the summer term, we are offering four sessions in the computer room in case you encounter any difficulties installing the statistics software.

    You must pass the workshop during the enrolment period in order for the mark for the associated statistics course to be validated! The deadline is the day before the exam for the associated statistics course.

    This workshop builds on the foundations acquired in the first part and introduces students to the analysis of bivariate data using R. Students learn to investigate relationships between two variables and to carry out the corresponding analyses using R. In particular, scatter plots and simple correlation analyses are covered.

    Another key focus is on basic statistical testing methods. Students will learn to carry out simple hypothesis tests in R and to interpret the results. This includes, in particular, tests for comparing means and simple tests for relationships between variables. The aim of the workshop is to enable students to analyse simple statistical problems independently using R.

    Training objectives

    Students can analyse bivariate data sets using R and investigate relationships between two variables. They are able to create appropriate graphical representations and carry out simple correlation analyses.

    They also learn about basic statistical test procedures and can apply simple hypothesis tests in R. Upon completion of the workshop, they will be able to interpret the results of such analyses and apply them correctly to simple statistical questions.

    Softskills No
    Available online No
    Off field No
    BeNeFri No
    Mobility No
    UniPop No
  • Assessments methods

    Continuous evaluation

    Assessments methods By success/failure
    Descriptions of Exams

    The workshop comprises a tutorial and a Moodle quiz. The requirements for passing the quiz are set out in detail on Moodle. There are no marks for the workshops; participants are simply assessed as ‘pass’ or ‘fail’. The quizzes can be retaken as often as required. (The questions are selected at random.) The quizzes can be completed entirely from home.

    You must pass the workshop during the enrolment period in order for the mark for the corresponding statistics course to be validated! The deadline is the day before the exam for the corresponding statistics course.
     

  • Assignment
    Valid for the following curricula:
    Ba - Communication Studies - 90 ECTS
    Version: 2023-SA_V03
    1st year - 36 ECTS > Statistique II - R/ Statistik II - R > workshop

    Ba - Communication and Media Research - 120 ECTS
    Version: 2026-SA_V01
    1st year - 42 ECTS > Statistique II - R/ Statistik II - R > workshop

    BcBa - Media and communication studies - 60 ECTS
    Version: 2021-SA_V03
    Elective courses - minimum 18 ECTS > Statistique II - R/ Statistik II - R > workshop

    Complementary learnings in SES or mobility students
    Version: ens_compl_ses
    Workshops for statistics courses

    MiBa -Mass Media and Communication Research - 30 ECTS
    Version: 2021-SA_V02
    4 elective lectures - 12 ECTS > Statistique II - R/ Statistik II - R > workshop