ECTS
2 credits
Component
Faculty of Science
Description
The aim of this course is to provide the statistical foundations needed to follow all the more advanced modules in the curriculum, so it's a general refresher. Descriptive statistics are reviewed (quantile, cumulative frequency polygon, sample estimators), simple tests are introduced, essential graphs for univariate and multivariate data are presented, the general principle of a statistical test, hypothesis design, the notion of p-value, first and second species risk are presented. In practical exercises, students are also brought up to speed in the R environment.
Objectives
Acquire the basic statistical knowledge needed to go further in data analysis at Master's level.
Necessary prerequisites
No prerequisites, just an upgrade.
Knowledge control
100% continuous assessment