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2026-2027 / STAT0002-2

Descriptive Statistics

Duration

20h Th, 10h Pr

Number of credits

 Bachelor in law3 crédits 
 Bachelor in political sciences : general3 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, research focus5 crédits 

Lecturer

Philippe Lambert

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Schedule

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 organised around two main themes: descriptive statistics and statistical estimation in the context of surveys. The course begins by introducing the basic graphical and numerical tools used to summarise the information available in a sample of univariate data. Basic strategies for quantifying and graphically representing the relationships between several variables are also described. An introduction to probability theory then provides the necessary concepts for tackling sampling and statistical estimation. The main probabilistic survey designs are then presented. Estimates of means and proportions are studied in this context.

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

Seven to eight practical sessions will be organised to help students complete various exercises illustrating the theoretical lessons, possibly with the aid of the JASP software. For each of these sessions, formative assessments will be available on the eCampus platform in addition to the exercises to be prepared.

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

Blended learning


Further 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 and podcasts.

Course materials and 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)


Further 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.

Contacts

Coordinator: Philippe LAMBERT, Faculté des sciences sociales, Bât B31, bureau 2.99, tél: 04/366.59.90, email: p.lambert@uliege.be

Teaching team:

Association of one or more MOOCs