Statistics

lespo2102  2019-2020  Louvain-la-Neuve

Statistics
Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
4 credits
30.0 h + 15.0 h
Q1
Teacher(s)
Deprins Dominique;
Language
French
Aims

At the end of this learning unit, the student is able to :

1 This statistics courses has two complementary teaching objectives: - to provide a rigorous, logical understanding of descriptive statistics and the statistical inference applicable in the field of economic and social sciences; - to facilitate an intelligent operational use of these same methods (i.e. more specifically, an understanding of how to choose a tool that has been adapted to the problem and to available data, to be able to operate it correctly, and to be able to interpret the results and their limitations).
 

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Bibliography
- Mendenhall W, Beaver R. J. and B. M. Beaver, Introduction to Probability and Statistics, Duxbury Press, 14 ed. 2012.
- Wonnacott T. H. and R. J. Wonnacott, Statistique: Economie - Gestion - Sciences - Médecine (avec exercises d'application), Paris, Economica, 4ème ed. 2000.
 
- Howell D. C., Statistique en Sciences Humaines (M. Rogier, traduction française), Edition Deboeck, 2008.
- Dehon C., J.-J. Droesbeke et C. Vermandele, Eléments de Statistique, Edition Ellipses Marketing, Collection ULB, 5e édition, 2008
Il existe une panoplie de livres en français comme en anglais qui reprennent cette matière de base de la statistique et qui sont assortis d’exercices résolus ou non. Certains se trouvent à la bibliothèque ESPO de l’université. De plus, Internet regorge de cours de statistique, plus ou moins poussés, et de documents expliquant des concepts ou des chapitres de ce cours. Une série de vidéos sur YouTube, intitulées « La Statistique expliquée à mon chat » du Statisticien Nathan Uytthendael (https://www.youtube.com/channel/UCWty1tzwZW_ZNSp5GVGteaA/featured), permettent une approche aussi sérieuse que ludique de certains concepts statistiques. À certaines occasions, elles seront utilisées au cours-même.
Faculty or entity
ESPO


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Human Resources Management

Master [60] in Labour Sciences (shift schedule)

Master [120] in Labour sciences (shift schedule)