Course 2024-2025

Statistics and probability [EFASB332]

  • 7 credits
  • 30h+15h
  • 1st quarter
Language of instruction: French / Français

Learning outcomes

The aim of this course is to enable the acquisition of statistical tools with a view to their future use by an economist. Particular emphasis is placed on: 1. the mastery of a limited number of statistical concepts, 2. the rigorous formulation of precise problems, 3. the reasoned choice of a solution method, and 4. the critical interpretation of results.

Objectives

To develop useful statistical skills based on an understanding of the fundamental principles of statistics and probability. The emphasis is on understanding the principles and their applications, rather than on a catalogue of formulae to be used.

Content

The course is an introduction to statistics. It consists of three main parts: (1) descriptive statistics, (2) probability analysis, and (3) statistical inference about means and proportions.

Exercises description

EXERCISES CARRIED OUT DURING 1.9, 1.16, 1.18; 2.4, 2.8, 2.10, 2.11, 2.12, 2.15, 2.16, 2.18b, 2.21, 2.34; 3.5, 3.6, 3.12, 3.16, 3.19, 3.21, 3.24, 3.40; 3.38, 3.25, 3.29, 3.38, 3.41, 4.1, 4.7, 4.11, 4.12, 4.15, 4.35, 4.17, 4.18, 4.19, 4.20, 4.23, 4.26, 4.29, 4.40; 5.20, 5.21, 5.12a et b, 5.22, 5.24, 5.25, 6.6, 6.8, 6.34, 6.12, 6.15, 6.16, 6.20, 6.36, 7.2, 7.8, 7.14, 7.15, 7.16 8.2, 8.4, 8.6, 8.7, 8.8, 8.11, 8.12, 8.18, 8.19, 8.20, 8.24, 8.26, 8.30, 8.32. 9.2 (sauf b), 9.6, 9.7, 9.8, 9.9, 9.10, 9.14, 9.19, 9.27, 9.28, 9.29, 9.30 (de a à h!). And incidentally:1.4, 1.2; 2.6, 2.18a, 2.21, 2.29, 2.30, 2.35, 2.42; 3.7, 3.8, 3.10, 3.18, 3.23, 3.42, 3.27, 3.28, 3.38, 3.41, 3.46, 4.4, 4.16, 4.41, 4.42, 4.46, 5.1, 5.2, 5.4, 5.9, 5.12 c et d, 5.13, 5.23, 6.44 for revision: at home, or during exercise sessions:: 5.28, 5.29, 5.30, 5.31, 5.32, 5.34, 5.36 Chap. 1: : 1Type of statisticse2, 1.4, 1.9, 1.16, 1.18 Chap 2: Descriptive statistics: 2.4, 2.6, 2.8, 2.10, 2.11, 2.12, 2.15, 2.16, 2.18, 2.21, 2.29, 2.30, 2.34, 2.35, 2.42 Chap. 3: Probabilities: 3.5, 3.6, 3.7, 3.8, 3.10, 3.12, 3.16, 3.18, 3.19, 3.21, 3.23, 3.24, 3.25, 3.27, 3.28, 3.29, 3.38, 3.40, 3.41, 3.42, 3.46 Chap. 4: Distributions of probabilities: 4.1, 4.4, 4.7, 4.11, 4.12, 4.15, 4.16, 4.17, 4.18, 4.19, 4.20, 4.23, 4.26, 4.29, 4.35, 4.40, 4.41, 4.42, 4.46. Chap. 5: Pair of random variables: 5.1, 5.2, 5.4, 5.9, 5.12, 5.13, 5.20. 5.21, 5.22,5.23, 5.24, 5.25, 5.28, 5.29, 5.30, 5.31, 5.32, 5.34, 5.36. Chap. 6: Sampling: 6.6, 6.8, 6.34, 6.12, 6.15, 6.16, 6.20, 6.36, 6.44. Chap. 7:Point estimates: 7.2, 7.8, 7.14, 7.15, 7.16. chap 8 et 9: exercises mentioned above.


Teaching methods

SUPPORT: the student has the textbook "Statistique", written by Wonnacott and Wonnacott, published by Economica (1991). It is available from the FASEG secretariat during normal office hours. Students also have access to the website linked to the course, which includes this teaching contract, series of exercises and their answers corresponding to the exercise sessions organised, at your request, by the assistant and copies of exams from previous years. WORK PROGRAMME/ This course consists of three modules, each designed as a compact set of several chapters covering a unified theme. During the course, the teacher gives a brief introduction to the subject, after which the students are invited to attempt to solve the exercises themselves, which will enable them to discover, understand and appropriate the main concepts seen in the course. This involves active participation by the students.

Evaluations

The exam is written and lasts three hours. It is based on the student's ability to solve problems similar to those in the textbook. Students may bring only four (4) annotated A4 pages and their calculator to the examination. No other material will be accepted.

Recommended readings

-"Statistique", written by Wonnacott and Wonnacott, published by Economica (1991)

Language of instruction

French / Français

Location for course

NAMUR

Organizer

Faculté des sciences économiques, sociales et de gestion
Rue de Bruxelles, 61
5000 NAMUR

Degree of Reference

Undergraduate Degree