UCL - Statistics

[IEPR1026]

[15h + 15h] 3 credits

Teacher(s): Isabelle De Macq

Language: French

Level: First

Aims
Main themes
Content and teaching methods
Other information (prerequisite, evaluation (assessment methods), course materials recommended readings, ...)

Aims

At the end of the course the successful student will be able to use the techniques of inferential statistics within the framework of his/her research. The course focuses on the most frequently used statistical methods. The underlying mathematical developments are limited to a strict minimum and replaced by intuitive reasoning and concrete examples, especially via practical exercise sessions.

Main themes

The course comprises theoretical lectures and exercise sessions:
1. Brief recall on one- and two-dimensional descriptive statistics
2. Inferential statistics: populations and samples, probabilities, variables, theoretical distributions, confidence intervals (means, variance, proportion), hypothesis testing based on sample means (Student t-test, analysis of variance, analysis of covariance, multiple comparisons), proportions (chi square, phi, contingency), correlations/regressions (significance, comparison, linearity), adjustment tests (chi square, KS), non-parametric tests (comparison of independant and dependant groups).
3. Application to capacity tests: classification of tests, quality of tests, validity and reproducibility.

Content and teaching methods

Will be completed by the titular professor when the courses will be attributed

Other information (prerequisite, evaluation (assessment methods), course materials recommended readings, ...)

Pre-requisite
Evaluation Written or oral examination, continuous evaluation
Support Syllabus or reference books
Supervision Titular professors
Others Exercise sessions + solutions to problems in groups of maximum 30 students