## 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-2023

### Schedules and rooms

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

### Teaching

 Responsibles Donzé Laurent Teachers Donzé Laurent Assistants Rosset Julien 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: Introduction (Population and statistical unit; variables) Empirical distributions (Categorical variables; quantitative variables;  histogram and cumulated empirical distributions; estimation of empirical distributions by kernel functions; shapes of distribution functions) 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) 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 workshopThe 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.
• Dates and rooms
Date Hour Type of lesson Place
20.09.2023 08:15 - 10:00 Cours PER 21, Room E120
20.09.2023 10:15 - 12:00 Cours PER 21, Room E120
27.09.2023 08:15 - 10:00 Cours PER 21, Room E120
27.09.2023 10:15 - 12:00 Cours PER 21, Room E120
04.10.2023 08:15 - 10:00 Cours PER 21, Room E120
04.10.2023 10:15 - 12:00 Cours PER 21, Room E120
11.10.2023 08:15 - 10:00 Cours PER 21, Room E120
11.10.2023 10:15 - 12:00 Cours PER 21, Room E120
18.10.2023 08:15 - 10:00 Cours PER 21, Room E120
18.10.2023 10:15 - 12:00 Cours PER 21, Room E120
25.10.2023 08:15 - 10:00 Cours PER 21, Room E120
25.10.2023 10:15 - 12:00 Cours PER 21, Room E120
08.11.2023 08:15 - 10:00 Cours PER 21, Room E120
08.11.2023 10:15 - 12:00 Cours PER 21, Room E120
22.11.2023 08:15 - 10:00 Cours PER 21, Room E120
22.11.2023 10:15 - 12:00 Cours PER 21, Room E120
29.11.2023 08:15 - 10:00 Cours PER 21, Room E120
29.11.2023 10:15 - 12:00 Cours PER 21, Room E120
06.12.2023 08:15 - 10:00 Cours PER 21, Room E120
06.12.2023 10:15 - 12:00 Cours PER 21, Room E120
13.12.2023 08:15 - 10:00 Cours PER 21, Room E120
13.12.2023 10:15 - 12:00 Cours PER 21, Room E120
20.12.2023 08:15 - 10:00 Cours PER 21, Room E120
20.12.2023 10:15 - 12:00 Cours PER 21, Room E120
• Assessments methods

### Written exam - SA-2023, Session d'hiver 2024

 Date 10.01.2024 14:00 - 15:30 Assessments methods By rating Descriptions of Exams Durée d'examen: 90 min.La participation à l'atelier SPSS et la réussite de l'atelier sont obligatoires pour la participation à l'examen.

### Written exam - SP-2024, Session de rattrapage 2024

 Date 21.08.2024 08:30 - 10:00 Assessments methods By rating Descriptions of Exams Durée d'examen: 90 min.La participation à l'atelier SPSS et la réussite de l'atelier sont obligatoires pour la participation à l'examen.
• Assignment
Valid for the following curricula:
Ba - Business Informatics - 180 ECTS
Version: 2020-SA_V02
1st year 60 ECTS > Introduction à la statistique I / Einführung in die Statistik I

Ba - Communication Studies - 90 ECTS
Version: 2023-SA_V01
1st year - 36 ECTS > Introduction à la statistique I / Einführung in die Statistik I
2nd and 3rd year - 54 ECTS > Course - 39ECTS > Elective courses - 15 ECTS > Elective courses of the SES Faculty > Elective BA courses SES max 4.5

Ba - Communication and Media Research - 120 ECTS
Version: 2021-SA_V04
1st year - 42 ECTS

Ba - Economics - 180 ECTS
Version: 2018-SA_V03
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_V02
Wahlvorlesungen - mind. 18 ECTS > Introduction à la statistique I / Einführung in die Statistik I

BeNeFri - Sciences économiques et sociales
Version: 2018-SP_V01 - SES BeNeFri
Course > Bachelor course offering for BeNeFri Students

Complementary learnings in SES or mobility students
Version: ens_compl_ses
Bachelor course offering for Mobility Students

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

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

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

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: 2022_SA_V01
Economics - 30 ECTS > Bachelor level elective course - 6 ECTS > Elective courses 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 > Elective courses 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 > Elective courses 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