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Our Degree Programs
Establishment
Language of instruction
French, English
This course occurs in the following program(s)
Bachelor in management
- Crédits ECTS:
Licence Eco-Finance ou Gestion + Prepa Commerce
- Crédits ECTS:
Training officer(s)
Albane De WAZIERES
Présentation
Prerequisite
Basic understanding of maths
Goal
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.
- 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.
Presentation
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
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
Modalités
Forms of instruction
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
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
Evaluation
Ressources
Bibliography
Aucune