Méthodes statistiques en gestion [ MQAHC1327 ]

MQAHD1325 ' Management Mathematics

A . Probabilities

I. Basic concepts
1. Random experience and events
2. Notion of probabilities
3. Conditional probabilities
4. Bayes formula
5. Independence
6. Count formulas

II. Random variables
1. Discrete random variables
2. Continuous random variables
3. Approximations
4. Linea transformation of a random variable

III. Multi-dimensional random variables
1. Two-dimensional random variables
2. Independence
3. Covariance
4. Properties of expectation and variance
5. Properties of independent random variables

B. Statistical inference
1. Sampling theory
2. Statistical estimation
a) Precise estimate
b) Confidence intervals
3. Hypothesis testing
3.1. Test of comparison to a standard
3.2. Distribution parameter comparison tests (average and variance)

At the end of the course students will be able to understand the basic concepts and methods of statistical analysis in management.

Written examination

• Lectures
• Assignments:

• WONNACOTT R., WONNACOTT R. (1995), Statistique, Economica, translation from WONNACOTT R., WONNACOTT R. (1990) Introductory Statistics for Business and Economics, 4th ed., John Wiley & Sons.
• GIARD V. (1995), Statistique appliquée à la gestion, Economica.