2023-2024 / STAT0808-1

Inferential statistics


20h Th, 20h Pr

Number of credits

 Bachelor in biology3 crédits 
 Bachelor in geography : general4 crédits 
 Bachelor in geology3 crédits 


Samuel Nicolay

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 develops the following themes:

- Introduction to probability calculus and random variable

- Statistical inference

Learning outcomes of the learning unit

At the end of the course, students will be able to understand the basic concepts of probability. The students will understand the notion of statistical models and they will master the basic principles of the estimation in a parametric model (principally inference on the mean). They will be able to perform and interpret basic parametric tests. 


Prerequisite knowledge and skills

A good understanding of calculus is required. In particular the courses of general mathematics and descriptive statistics are prerequisites for comprehension of this course. 

Planned learning activities and teaching methods

Ex cathedra teaching and exercise sessions

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

Recommended or required readings

Course notes will be available on eCampus. 

Exam(s) in session

Any session

- In-person

written exam ( multiple-choice questionnaire, open-ended questions )

- Remote

written exam ( multiple-choice questionnaire, open-ended questions )

Additional information:

- If face to face exam is possible: an exam organised in January

- If distance exam is required: distance exam

The evaluation includes a theoretical part and an exercise part.

The total score is obtained by calculating the weighted geometric mean between the theoretical part and the exercise part. The weighting is as follows: 1/3 for the theory and 2/3 for the exercises.

Work placement(s)

Organisational remarks and main changes to the course

The organization of the course may change depending on health conditions.


S. Nicolay (S.Nicolay@uliege.be)

Association of one or more MOOCs