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Statistique II

  • Teacher(s):  
  • English title: Statistics II
  • Course given in: French
  • ECTS Credits:
  • Schedule: Spring Semester 2022-2023, 3.0h. course + 1.0h exercices (weekly average)
      WARNING :   this is an old version of the syllabus, old versions contain   OBSOLETE   data.
  •  sessions
  • site web du cours course website
  • Related programmes:
    Bachelor of Science (BSc) in Management

    Bachelor (BSc) in Economic Sciences

    Bachelor of Science (BSc) in Economics
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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 regressiona

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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