2023-2024 / STAT0002-2

Descriptive Statistics


20h Th, 10h Pr

Number of credits

 Bachelor in law3 crédits 
 Bachelor in political sciences : general3 crédits 
 Bachelor in human and social sciences6 crédits 
 Bachelor in human and social sciences (New programme)5 crédits 
 Extra courses intended for exchange students (Erasmus, ...) (Faculty of social sciences)6 crédits 
 Bachelor in information and communication5 crédits 
 Master in history of art and archaeology : general (120 ECTS)5 crédits 


Philippe Lambert

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January


Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

This course consists of about ten theoretical lectures related to descriptive statistics. The graphical and numerical tools summarizing the information available in univariate data are first described. Elementary strategies enabling to quantify and to represent graphically the association between several variables are also studied. Finally, survey sampling is tackled with the main probabilist survey plans. Estimation of means and proportions are tackled in that framework.

Learning outcomes of the learning unit

To understand and know how to use basic descriptive statistics tools, including the JASP software; To study the statistical bases of survey theory and to be able to estimate means and proportions within this framework.

Prerequisite knowledge and skills

Planned learning activities and teaching methods

Six practicals will be organized to help the students to solve the different types of exercises illustrating the theoretical lectures. For each session, training tests will be made available through the eCampus platform in addition to the exercises to be pepared.

Mode of delivery (face to face, distance learning, hybrid learning)

Blended learning

Additional information:

The theoretical lectures and the practicals will take place during the 1st quadrimester on a weekly basis. They will combine face-to-face sessions, podcasts, Q&A sessions and forums on eCampus.

Recommended or required readings

The slides, documents and podcasts used during the course will be made available together with the open-source software JASP

Exam(s) in session

Any session

- In-person

written exam ( open-ended questions )

Out-of-session test(s)

Additional information:

The final grade (out of 20) will combine the results of an open-ended written exam (out of 18 points) with those obtained at the end of the first term during a single and final quiz (out of 2 points) to assess mastery of the JASP software.

Work placement(s)

Organisational remarks and main changes to the course

The completion of the theoretical courses and a pre-study of the associated materials are required to access the practical sessions.


  • Professor: Philippe LAMBERT, Faculté des sciences sociales, Bât B31, local R.54, tél: 04/366.59.90, email: p.lambert@uliege.be
  • Assistants: Patrick ITALIANO (Email: p.italiano@uliege.be) and Sébastien FONTAINE (Email: sebastien.fontaine@uliege.be)

Association of one or more MOOCs