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INFERENTIAL STATISTICS

2017-2018

IESEG School of Management ( IÉSEG )

Code Cours :

1718-IÉSEG-BA2S1-QMS-CE03UE

QUANTITATIVE METHODS


Niveau Année de formation Période Langue d'enseignement 
Bachelor2S1English
Professeur(s) responsable(s)C.CERIANI-BAILLIF
Intervenant(s)VERMAUT Alexis; AMAR Jennifer; CHEKRAOUI Khalid; Ceriani Clarisse Camara Mamoudou Zouhir Ouejkam Semra Karaks Arthur Ladwein , VERMAUT Alexis; AMAR Jennifer; CHEKRAOUI Khalid; Ceriani Clarisse Camara Mamoudou Zouhir Ouejkam Semra Karaks Arthur Ladwein , VERMAUT Alexis; AMAR Jennifer; CHEKRAOUI Khalid; Ceriani Clarisse Camara Mamoudou Zouhir Ouejkam Semra Karaks Arthur Ladwein


Pré requis

Descriptive statistics (graphs, mean, variance,cross-table...)
- Random variables
- Expected value, variance, standard deviation
- Usual probability distributions (Normal )

Objectifs du cours

At the end of the course, the student should be able to:
-use a database and give an estimate for a population parameter (mean, proportion and sdandard deviation),
- compute confidence intervals for a mean or a proportion and perform statistical tests
- analyse and test the relationship between two qualitative or quantitative variables
- determine sample size for the mean and for the proportion
- compare the means of two independent populations
- according to the database, recognize what kind of confidence intervals and statistics tests should be performed
-integrate a group to do a project

Have greater awareness about ESRS topics such as: Capacity to interact and collaborate
with others effectively, including in teams, in the workplace, and in culturally or linguistically diverse
contexts, Ability to analyse and critically evaluate arguments, Ethical awareness (professional and personal) and academic integrity.

Contenu du cours

Chapter 1: The normal distribution

Chapter 2 : Sampling
-Probability distribution of the sample mean, proportion and standard deviation

Chapter 3: Estimate and confidence intervals
-estimator's properties; CI for the mean when the population variance is unknown; CI for the proportion; margin of error and sample size

Chapter 4: Statistical tests
-one-tail test; two-tail test; p-value

Chapter 5 : Chi-Square test for independence
-use excel to draw a pivot-table
-independency test

Chapter 6: Two-Sample tests


Modalités d'enseignement

Organisation du cours

TypeNombre d'heuresRemarques
Face to face
Interactive class52,00  
Interactive class52,00  
Interactive class52,00  
Independent study
Group Project20,00  
Estimated personal workload30,00  
Group Project20,00  
Estimated personal workload30,00  
Group Project20,00  
Estimated personal workload30,00  
Independent work
Reference manual 's readings15,00  
Reference manual 's readings15,00  
Reference manual 's readings15,00  
Charge de travail globale de l'étudiant351,00  

Méthodes pédagogiques

  • Project work
  • Interactive class
  • Project work
  • Interactive class
  • Project work
  • Interactive class


Évaluation

Students have 2 written evaluations that contain exercises, open questions and MCQ. The evaluations do not focus on the calculus and formula. The student have to explain their reasoning and and analyse the result. They also have to do a project for which students have to find a problematic, get a sample and then use all the concepts studied in class.

Type de ContrôleDuréeNombrePondération
Others
Group Project0,00120,00
Group Project0,00120,00
Group Project0,00120,00
Continuous assessment
Mid-term exam0,00135,00
Mid-term exam0,00135,00
Mid-term exam0,00135,00
Final Exam
Written exam0,00145,00
Written exam0,00145,00
Written exam0,00145,00
TOTAL     300,00

Bibliographie

  • Basic Business Statistics: Concepts and Applications, 12th Edition by Mark L. Berenson (Author), David M. Levine (Author), Timothy C. Krehbiel (Author) -

  • Basic Business Statistics: Concepts and Applications, 12th Edition by Mark L. Berenson (Author), David M. Levine (Author), Timothy C. Krehbiel (Author) -

  • Basic Business Statistics: Concepts and Applications, 12th Edition by Mark L. Berenson (Author), David M. Levine (Author), Timothy C. Krehbiel (Author) -


Ressources internet



 
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