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Language of instruction
French, English
Teaching content
QUANTITATIVE METHODS
Training officer(s)
E.DESOUCHE
Stakeholder(s)
AMAR, Jennifer
BALI, Mounir
Ceriani Clarisse
Desouche emilie
Vermaut Alexis
CHEKRAOUI, Khalid
Derambure Christophe
Matei Iuliana
, VAN HOORDE DAMIEN
BELKHADIR, Mohammed
MAHIEUX, Aurélie
CHEKRAOUI, Khalid
BRAHIM MIRIEM
AIDARA AHMED
DELAUTRE JEAN
FERRE MARIA
GENTCHEV, Eugeni
BALI, Mounir
Ceriani Clarisse
Desouche emilie
Vermaut Alexis
CHEKRAOUI, Khalid
Derambure Christophe
Matei Iuliana
, VAN HOORDE DAMIEN
BELKHADIR, Mohammed
MAHIEUX, Aurélie
CHEKRAOUI, Khalid
BRAHIM MIRIEM
AIDARA AHMED
DELAUTRE JEAN
FERRE MARIA
GENTCHEV, Eugeni
Présentation
Prerequisite
This course is intended primarily for an audience with no training in statistics and yet confronted repeatedly with the handling and analysis of data sets.
No prerequisites in mathematics is required except knowledge of basic math operations. Desire, curiosity and tenacity will allow to the student to keep under control the concepts, apparently complex, but which remain relatively simple. The using of Excel will be a good way to discover main concepts and definition
No prerequisites in mathematics is required except knowledge of basic math operations. Desire, curiosity and tenacity will allow to the student to keep under control the concepts, apparently complex, but which remain relatively simple. The using of Excel will be a good way to discover main concepts and definition
Goal
At the end of the course, the student should be able to handle:
- to present, describe, summarize the essential characteristics of a data set and bring out the information objectively
- He should therefore be able to describe the data, sort it, summarize it by key values (mean, standard deviation, for example), and summarize it in the form of tables or graphs
- He should be able to realize that the study description and summary is made on the population studied, and there is no extrapolation to a larger population (objective of inferential statistics) (distinguish between sample/population)
- Finally, he should be able to manipulate data sets, read statistical reports and make good use of appropriate methods to avoid false interpretation of numbers, that is to say to make an exact interpretation
- to present, describe, summarize the essential characteristics of a data set and bring out the information objectively
- He should therefore be able to describe the data, sort it, summarize it by key values (mean, standard deviation, for example), and summarize it in the form of tables or graphs
- He should be able to realize that the study description and summary is made on the population studied, and there is no extrapolation to a larger population (objective of inferential statistics) (distinguish between sample/population)
- Finally, he should be able to manipulate data sets, read statistical reports and make good use of appropriate methods to avoid false interpretation of numbers, that is to say to make an exact interpretation
Presentation
Concepts and statistical methods will be addressed through numerous
examples that will be enriched by exercises mainly done with Excel
Introduction and Data Collection
Presenting Data in Tables and Charts
Numerical Descriptive Measures: central tendencies, dispersion
+
Chapters of Probability
Basic Probability
Some Important Discrete Probability Distributions
The normal distribution
examples that will be enriched by exercises mainly done with Excel
Introduction and Data Collection
Presenting Data in Tables and Charts
Numerical Descriptive Measures: central tendencies, dispersion
+
Chapters of Probability
Basic Probability
Some Important Discrete Probability Distributions
The normal distribution
Modalités
Organization
| Type | Amount of time | Comment | |
|---|---|---|---|
| Face to face | |||
| Interactive class | 48,00 | ||
| Independent study | |||
| Estimated personal workload | 37,00 | ||
| Overall student workload | 85,00 | ||
Evaluation
The midterm is a written evaluation with exercises and theoritical questions. For the final evaluation in statistics students will have to analyse a database using excel and the tools studied in class.For probabilities, student will have a MCQ about the normal distribution.
| Control type | Duration | Amount | Weighting |
|---|---|---|---|
| Continuous assessment | |||
| Mid-term exam | 2,00 | 1 | 40,00 |
| Final Exam | |||
| Written exam | 2,00 | 1 | 45,00 |
| MQC | 1,50 | 1 | 15,00 |
| TOTAL | 100,00 | ||
Ressources
Bibliography
Basic Business Statistics: Concepts and Applications, 12th Edition by Mark L. Berenson (Author), David M. Levine (Author), Timothy C. Krehbiel (Author) -
Internet resources