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Statistique II

  • Teacher(s):   M.Brülhart   O.Gallay  
  • English title: Statistics II
  • Course given in: French
  • ECTS Credits: 4.5 credits
  • Schedule: Spring Semester 2022-2023, 3.0h. course + 1.0h exercices (weekly average)
  •  sessions
  • site web du cours course website
  • Related programmes:
    Bachelor of Science (BSc) in Economics
    Bachelor of Science (BSc) in Management
    Bachelor (BSc) in Economic Sciences
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[warning] This course syllabus is currently edited by the professor in charge. Please come back in a few days. --- For your information only, here is the old syllabus :

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.

Pre-requisites

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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