STAT0068-1 : Statistics (night classes)

Study Programmes 2015-2016

STAT0068-1

Statistics (night classes)

Duration :

30h Th, 15h Pr

Number of credits :

Master in law, professional focus in management		5
Master in law (120 ECTS)		5
Master in management (60 ECTS) (evening classes)		5

Lecturer :

Isabelle Pays

Language(s) of instruction :

French language

Organisation and examination :

Teaching in the first semester, review in January

Units courses prerequisite and corequisite :

Prerequisite or corequisite units are presented within each program

Course contents :

Descriptive statistics Probability Statistical Inference (Confidence intervals, hypothesis testing) Correlation and Simple linear regression Contingency analysis: Chi-squared test of independence.
Forecasting (introduction, moving averaging models)

Learning outcomes of the course :

According to the intended learning outcomes of the programm, i.e. "Use adequately the accounting, the statistics in the context of the management" after this course, the student

will learn the basics necessary for the proper understanding and the proper use of statistics in various areas (management, market research, finance, ...).
will be able to appeal to the theories described in the contents above to analyze data to determine the analytical tools that are suitable for this analysis and will be able to adequately draw and formulate conclusions arising from this analysis.

This basic course allows to access various other domains where the basic statistical knowledge is a pre-requisite.

Prerequisite knowledge and skills :

Algèbre de base.
Using a spreadsheet

Planned learning activities and teaching methods :

The knowledge will be acquired through lectures. The student will solve problems during exercices session. The problems will finally be discussed collectively.
The exercises are to be prepared outside of class. The list of exercises to prepare The exercises are to prepare outside of class sessions. The list of exercises to prepare will be announced approximately one week in advance.
Personal work, outside class and exercises sessions, is expected of the student. Each session will begin with a brief session of "questions & answers" on the previous course.

Mode of delivery (face-to-face ; distance-learning) :

Lectures (ex-cathedra course) and exercises, in small groups, will be checked all together

Recommended or required readings :

Reference book : Eléments de statistique, C. DEHON, J.-J. DROESBEKE, C. VERMANDELE 5e édition revue et augmentée, éd de l'université de Bruxelles (Ellipses).
Several documents will be available on the course website : Lol@: http://campushd.hec.ulg.ac.be/index.php?category=11#categoryContent (Identification needed to access STAT0068-1)

Assessment methods and criteria :

Written exam (50% theory, 50% exercises).
It is strictly forbidden to carry a mobile phone or other electronic device, even swiched off. Failure to comply with these rules will cancel the exam, that is to say it will lead to a score of 0.
Only a calculating machine, not graphical, non-programmable permitted.

Work placement(s) :

Organizational remarks :

The course is taught in French.
Mobile phones, tablets and other computers are not useful during the course and impair concentration. These devices must be switched off, alarm deactivated, during the courses.
Only a calculating machine, not graphical, non-programmable is permitted.

Contacts :

Instructor : I. Pays, HEC-Ecole de Gestion de l'Ulg, Rue Louvrex, 14, Liège. (Bât. N1, Local 327), Tél. : 04 232 7302 - E-mail: Isabelle.Pays@ulg.ac.be

Items online :

Slides
The slides and other documents are available on the course website.