Introduction à la statistique I

  • Teaching

    Details

    Faculty Faculty of Management, Economics and Social Sciences
    Domain Information Systems
    Code UE-EIG.00122
    Languages French
    Type of lesson Lecture
    Level Bachelor
    Semester SA-2021

    Schedules and rooms

    Summary schedule Wednesday 08:15 - 10:00, Hebdomadaire
    Wednesday 10:15 - 12:00, Hebdomadaire
    Hours per week 3

    Teaching

    Responsibles
    Teachers
    Assistants
    Description

    This course is the first part of an education program in Statistics. It has to be followed by all the Faculty's students. Contents and difficulty degree of this basic introduction correspond to a standard international level.

    The course is a descriptive and no formal introduction to Statistics:

    1. Introduction (Population and statistical unit; variables)
    2. Empirical distributions (Categorical variables; quantitative variables;  histogram and cumulated empirical distributions; estimation of empirical distributions by kernel functions; shapes of distribution functions)
    3. Characterisation of distribution functions (Measures of location; measures of dispersion; measures of symmetry and kurtosis; Lorenz curve and Gini concentration index; normal distribution; qq-plot and normal probability plot)
    4. Probability and statistical inference (Probability; random variables and probability laws; statistical inference and confidence interval)

    Especially, the concepts of distribution, probability, confidence intervals, and hypotheses tests will be treated. The course is illustrated by economic, demographic or social statistical examples.

    For a better understanding and a broader look at the taught subjects, exercises are provided. In parallel, students have to participate in an online SPSS workshop.

    SPSS workshop

    The SPSS workshop gives students an introduction to the SPSS software. The aim is to familiarise with the software, to do simple manipulations and to use it in elementary statistical analyses. The workshop is an online course and proposes a self-learning method. The main features are given by video clips, which explain several manipulations through the menu in order to solve some concrete cases.

    Moodle

    Training objectives

    As the emphasis is given on the tools of the Descriptive Statistics, the student will be able at the end of the course to produce a descriptive analysis of data, and in particular to describe and comment and empirical distribution, and to test hypotheses on the mean of a distribution.

    Condition of access

    Registered students at the University with a Federal maturity or an equivalent diploma.

    Comments

    Only students who will have validated the course could write a Seminar thesis under the supervision of the professor.

    Available seats 150
    Softskills
    Yes
    Softskills seats 20
    Off field
    No
    BeNeFri
    Yes
    Mobility
    Yes
    UniPop
    No
    Auditor
    Yes

    Documents

    Bibliography

    A script with a listing of references is provided. The student will find on the course's Moodle platform other resources.

    Files and attachments
  • Dates and rooms
    Date Hour Type of lesson Place
    22.09.2021 08:15 - 10:00 Cours PER 21, Room E120
    22.09.2021 10:15 - 12:00 Cours PER 21, Room E120
    29.09.2021 08:15 - 10:00 Cours PER 21, Room E120
    29.09.2021 10:15 - 12:00 Cours PER 21, Room E120
    06.10.2021 08:15 - 10:00 Cours PER 21, Room E120
    06.10.2021 10:15 - 12:00 Cours PER 21, Room E120
    13.10.2021 08:15 - 10:00 Cours PER 21, Room E120
    13.10.2021 10:15 - 12:00 Cours PER 21, Room E120
    20.10.2021 08:15 - 10:00 Cours PER 21, Room E120
    20.10.2021 10:15 - 12:00 Cours PER 21, Room E120
    27.10.2021 08:15 - 10:00 Cours PER 21, Room E120
    27.10.2021 10:15 - 12:00 Cours PER 21, Room E120
    03.11.2021 08:15 - 10:00 Cours PER 21, Room E120
    03.11.2021 10:15 - 12:00 Cours PER 21, Room E120
    10.11.2021 08:15 - 10:00 Cours PER 21, Room E120
    10.11.2021 10:15 - 12:00 Cours PER 21, Room E120
    17.11.2021 08:15 - 10:00 Cours PER 21, Room E120
    17.11.2021 10:15 - 12:00 Cours PER 21, Room E120
    24.11.2021 08:15 - 10:00 Cours PER 21, Room E120
    24.11.2021 10:15 - 12:00 Cours PER 21, Room E120
    01.12.2021 08:15 - 10:00 Cours PER 21, Room E120
    01.12.2021 10:15 - 12:00 Cours PER 21, Room E120
    15.12.2021 08:15 - 10:00 Cours PER 21, Room E120
    15.12.2021 10:15 - 12:00 Cours PER 21, Room E120
    22.12.2021 08:15 - 10:00 Cours PER 21, Room E120
    22.12.2021 10:15 - 12:00 Cours PER 21, Room E120
  • Assessments methods

    Examen écrit - SA-2021, Session d'hiver 2022

    Date 11.01.2022 08:30 - 09:30
    Assessments methods By rating
    Descriptions of Exams

    Durée d'examens: 90 Min.
    La participation à l'atelier SPSS et la réussite de l'atelier sont obligatoires pour la participation à l'examen.

    UPDATE 21.12.2021: Durée d'examen 60 minutes pour l'épreuve en ligne

    Examen écrit - SP-2022, Session de rattrapage 2022

    Date 24.08.2022 08:30 - 10:00
    Assessments methods By rating
    Descriptions of Exams

    Durée d'examens: 90 Min.
    La participation à l'atelier SPSS et la réussite de l'atelier sont obligatoires pour la participation à l'examen.

    UPDATE 21.12.2021: Durée d'examen 60 minutes pour l'épreuve en ligne

  • Assignment
    Valid for the following curricula:
    Ba - Communication and Media Research - 120 ECTS
    Version: 2021/SA_V01
    1st year - 42 ECTS > Introduction à la statistique I / Einführung in die Statistik I

    Ba - Economics - 180 ECTS
    Version: 2018/SA_V02
    1st year 60 ECTS > Introduction à la statistique I / Einführung in die Statistik I

    Ba - Information Systems - 180 ECTS
    Version: 2020/SA_V02
    1st year 60 ECTS > Introduction à la statistique I / Einführung in die Statistik I

    Ba - Management - 180 ECTS
    Version: 2019/SA-V02
    1st year 60 ECTS > Introduction à la statistique I / Einführung in die Statistik I

    Ba - Management - 180 ECTS
    Version: 2018/SA_V02
    1st year 60 ECTS > Introduction à la statistique I / Einführung in die Statistik I

    Ba - Management and Economics - 120 ECTS
    Version: 2018/SA_V02
    1st year - 42 ECTS > Introduction à la statistique I / Einführung in die Statistik I

    BcBa - Kommunikationswissenschaft und Medienforschung - 60 ECTS
    Version: 2021/SA_V01
    Wahlvorlesungen - mind. 18 ECTS > Introduction à la statistique I / Einführung in die Statistik I

    Comp - International and European Business - 30 ECTS
    Version: 2018/SA_V01_F+D
    Au moins 31.5 ECTS de > Introduction à la statistique I / Einführung in die Statistik I

    Comp - compl. MA in Accounting and Finance - 30 ECTS
    Version: 2020/SA-V01_COURS_AAF
    Au moins 12 ECTS de > Introduction à la statistique I / Einführung in die Statistik I

    Comp Ma - Management
    Version: 2019/SA_v01
    Au moins ECTS de > Introduction à la statistique I / Einführung in die Statistik I

    Complementary learnings in SES
    Version: ens_compl_ses
    BA course offering for Mobility Students

    Education / Psychology 120
    Version: SA14_BA_fr_v02
    CTC / BP1.8-F

    Education / Psychology 120
    Version: SA20_BA_de_v01
    BP1.7-D Bereichsübergreifende Kompetenzen

    Education / Psychology 120
    Version: SA20_BA_bil_v01
    BP1.7-B Bereichsübergreifende Kompetenzen / Compétences transversales

    Educational Sciences 120
    Version: SA20_BA_bil_v01
    Variante A > BE1.8a-B Compétences transversales
    Variante B > BE1.7b-B Bereichsübergreifende Kompetenzen

    Educational Sciences 120
    Version: SA20_BA_de_v01
    BE1.8-D Bereichsübergreifende Kompetenzen

    Educational Sciences 120
    Version: SA14_BA_fr_v02
    CTC / BS1.8-F

    English Language and Literature 120
    Version: SA15_BA_ang_V02
    Module Nine: Soft Skills

    MiBa - Business Administration - 60 ECTS
    Version: 2015/SA_V01
    Au moins 31.5 ECTS de > Introduction à la statistique I / Einführung in die Statistik I

    MiBa - Business Communication : Economics - 60 ECTS
    Version: 2014/SA_V01
    Cours facultatifs à choisir: Cours bachelor (sans cours de langue) de la Faculté des sciences économiques et sociales > Wahlkurse BA SES

    MiBa - Economics - 30 ECTS
    Version: 2009/SA_V01
    Cours facultatifs à choisir: Cours bachelor (sans cours de langue) de la Faculté des sciences économiques et sociales > Wahlkurse BA SES

    MiBa - Economie politique - 60 ECTS
    Version: 2009/SA_V01
    Cours facultatifs à choisir: Cours bachelor (sans cours de langue) de la Faculté des sciences économiques et sociales > Wahlkurse BA SES

    Psychology 180
    Version: SA19_BA_fr_de_bil_v02
    Module 11 > M11 Soft skills

    Slavic Studies 120
    Version: SA15_BA_slav_V01
    Module 9: Compétences transversales et complémentaires

    Slavic Studies 120
    Version: SA15_BA_slav_V02
    Module 9: Compétences transversales et complémentaires