Introduction à la statistique I
UE-EIG.00122

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Teacher(s): Donzé Laurent
Level: Bachelor
Type of lesson: Lecture
ECTS: 4.5
Language(s): French
Semester(s): AS-2025

This course is the first part of an education program in Statistics. It has to be followed by all the Faculty's students. Contents and difficulty degree of this basic introduction correspond to a standard international level.

The course is a descriptive and no formal introduction to Statistics:

  1. Introduction (Population and statistical unit; variables)
  2. Empirical distributions (Categorical variables; quantitative variables;  histogram and cumulated empirical distributions; estimation of empirical distributions by kernel functions; shapes of distribution functions)
  3. Characterisation of distribution functions (Measures of location; measures of dispersion; measures of symmetry and kurtosis; Lorenz curve and Gini concentration index; normal distribution; qq-plot and normal probability plot)
  4. Probability and statistical inference (Probability; random variables and probability laws; statistical inference and confidence interval)

Especially, the concepts of distribution, probability, confidence intervals, and hypotheses tests will be treated. The course is illustrated by economic, demographic or social statistical examples.

For a better understanding and a broader look at the taught subjects, exercises are provided. In parallel, students have to participate in an online SPSS workshop.

SPSS workshop

The SPSS workshop gives students an introduction to the SPSS software. The aim is to familiarise with the software, to do simple manipulations and to use it in elementary statistical analyses. The workshop is an online course and proposes a self-learning method. The main features are given by video clips, which explain several manipulations through the menu in order to solve some concrete cases.

Moodle

Training aims

As the emphasis is given on the tools of the Descriptive Statistics, the student will be able at the end of the course to produce a descriptive analysis of data, and in particular to describe and comment and empirical distribution, and to test hypotheses on the mean of a distribution.

Documentation

A script with a listing of references is provided. The student will find on the course's Moodle platform other resources.