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Statistics 3

2023-2024

EnFaculté de Gestion, Economie & Sciences Licences ( FGES LICENCES )

Class code :

2324-FGES-MATH-FR-2006


Level Year Period Language of instruction 
EnFrench
Academic responsibilityAlbane De WAZIERES
Lecturer(s)-

    This class exists in these courses :
  • USCHOOL - Licence 3 Pluridisciplinaire Projet Personnel - S5 - 2 ECTS
    Faculté de Gestion, Economie & Sciences - Licences & Prépas - Licence 2 Gestion Classe Sup - S3 - 2 ECTS
    USCHOOL - Licence 2 Pluridisciplinaire Projet Personnel - S3 - 2 ECTS

Prerequisites

Basic understanding of maths

Learning outcomes

Show the student the importance of statistics as a timely tool for decision-making. The student must, for example (and the list is far from comprehensive) be able to accurately estimate
- safety stock,
- market share,
- AC,
- revenue generated by a new tax based on income distribution of a population,
- maximum duration of a project to check whether deadlines will be met,
- value of a share received
- average waiting time,
- etc.

These calculations may thus assist in professional life in the following ways:
- better manage logistics
- better manage marketing approach,
- validate the production of a new product,
- fund new activities while remaining profitable,
- making customers’ and suppliers’ accounts agree
- timely product delivery,
- calculate the profit obtained by the opening of an additional fund a hypermarket,
- etc.

Course description

For both semesters, the course content is as follows:
Theme 1: combinatorics
Chapter 1: combinatorics
Theme 2: general properties
Chapter 2: Probability
Chapter 3: Conditional probabilities, independent events, probability products
Chapter 4: Random variable, law of probability, distribution function.
Chapter 5: moments
Theme 3: main laws
Chapter 6: The Binomial Law
Chapter 7: normal distributions
Chapter 8: The Law of the Fish
Theme 4: two outstanding properties
Chapter 9: Tchébyschef inequalities
Chapter 10: Central limit theorem
Theme 5: Estimating
Chapter 11: Samples
Chapter 12: Point Estimation
Section 13: Interval estimation


Class type

Class structure

18 hours of lectures and 18h of tutoring.
Instruction is provided in the form of lectures accompanied by tutorials sessions. The exercises are twofold: finding solutions by applying the theoretical concepts taught and, if applicable to the case being studied, microcomputer simulation to validate the theoretical results

Teaching methods


    Assessment


    Recommended reading

    • Aucune


    Internet resources



     
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