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## Statistique II

• Teacher(s):
• English title: Statistics II
• Course given in: French
• ECTS Credits: 4.5 credits
• Schedule: Spring Semester 2019-2020, 3.0h. course + 1.0h exercices (weekly average)
•  sessions
•  course website
• Related programmes:
Bachelor (BSc) in Economic Sciences

Bachelor of Science (BSc) in Economics

Bachelor of Science (BSc) in Management

### Objectives

• Introduce the basic tools of statistical analysis used in economics, management, marketing and operations.
• Apply statistical tools on the computer.
• Highlight the applicability and limitations of the presented statistical methods.

### Contents

• Sampling
• Estimation
• Hypothesis tests
• ANOVA and comparisons
• Simple linear regression
• Multiple linear regression

### References

• Anderson, D., Sweeney, D. & Williams, T. (2010) Statistiques pour l’économie et la gestion (3e éd.), De Boeck.
• Tribout, Brigitte (2007) Statistique pour économistes et gestionnaires, Pearson.
• Kenkel, James L. (1996) Introductory Statistics for Management and Economics (4th ed.), Duxbury.

Statistics I

### Evaluation

#### First attempt

Exam:
Written 2 hours
Documentation:
Allowed
Calculator:
Allowed with restrictions
Evaluation:

The course grade is based on a written examination at the end of the semester. The exam is composed of multiple-choice questions. Only the following scientific calculators are allowed: TI-30X II (B, S or ECO); HP 10S ou 10S+.

#### Retake

Exam:
Written 2 hours
Documentation:
Allowed
Calculator:
Allowed with restrictions
Evaluation:

The exam is composed of multiple-choice questions. Only the following scientific calculators are allowed: TI-30X II (B, S or ECO); HP 10S ou 10S+.

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