OUR ACADEMIC DEPARTEMENTS |
Lesson details
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 responsibility | Albane 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
* This information is non-binding and can be subject to change