2023-2024 / PSYC5895-1

Descriptive and inferential psychostatistics (part 1)


30h Th, 30h Pr

Number of credits

 Bachelor in psychology and education : speech and language therapy6 crédits 
 Bachelor in psychology and education : general6 crédits 


Etienne Quertemont

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

Introduction to elementary statistical procedures : Concept of variable, measures of central tendency and variability, normal distribution, probabilities, confidence intervals, hypothesis testing and inferential statistics, chi-square tests for categorical data, Student t tests for paired and independent samples, non-parametric tests, correlations and linear regressions.

The course emphasizes the use of statistical procedures in situations that psychologists might encounter. The content of the course therefore focuses on data analysis and exercise solving.

Learning outcomes of the learning unit

Upon completion of this course, students should be able to:
- Analyze data from scientific studies in psychology, speech and language therapy and education, with basic statistical treatments and to accurately interpret the results
- Read and understand the results of scientific studies that include basic statistical analyses
- Calculate the statistics required for the administration of standardized psychological tests (for example the Z-score).
- Adopt a critical approach toward the generalization of findings from sample measures.

Prerequisite knowledge and skills

The course requires a good knowledge of basic mathematics

Planned learning activities and teaching methods

Online Exercises through the eCAmpus plateform are provided with each chapter of the course. Immediate and automatic feebacks are provided for these exercises. Three series of online summary exercices are also provided.

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

Blended learning

Additional information:

The theoretical lessons are organised face-to-face, whereas the practical exercices are online.

Recommended or required readings

A theoretical syllabus and a syllabus with exercises are provided

Exam(s) in session

Any session

- In-person

written exam ( open-ended questions )

Additional information:

An open book written exam is organized at the end of the course. The questions essentially involve problem solving and data analysis.

Work placement(s)

Organisational remarks and main changes to the course


Teacher: E. Quertemont, Tel: 04/366.21.05, equertemont@uliege.be
Practicals: V. Didone, Tel: 04/366.22.63, vdidone@uliege.be

Association of one or more MOOCs