• 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.

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Objectives

Acquire the basic statistical knowledge needed to go further in data analysis at Master's level.

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Teaching hours

  • Description and inference - TDTutorial3h
  • Description and inference - CMLecture6h
  • Description and inference - Practical workPractical work6h

Necessary prerequisites

No prerequisites, just an upgrade.

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Knowledge control

100% continuous assessment

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