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Language of instruction
English
Teaching content
QUANTITATIVE METHODS
Training officer(s)
A.SVORONOU
Stakeholder(s)
A.SVORONOU
Présentation
Prerequisite
Mathematics for business
Goal
At the end of the course, the student should be able to:
* conduct a full descriptive analysis, using all the relevant statistics and plots, deal with non symmetrical distributions and then interpret all the results,
* acquire the knowledge to test hypotheses using the selected statistical methods,
* have knowledge to handle metric and non-metric data and use the appropriate inferential methods,
* set up and analyze regression models and assess the resulting model critically,
* acquire the ability to include in knowledge the notion of Uncertainty and that of Ethics,
* use a statistical software (Excel) and, by extension, have the ability to interpret and demonstrate the results obtained by any statistical software
* conduct a full descriptive analysis, using all the relevant statistics and plots, deal with non symmetrical distributions and then interpret all the results,
* acquire the knowledge to test hypotheses using the selected statistical methods,
* have knowledge to handle metric and non-metric data and use the appropriate inferential methods,
* set up and analyze regression models and assess the resulting model critically,
* acquire the ability to include in knowledge the notion of Uncertainty and that of Ethics,
* use a statistical software (Excel) and, by extension, have the ability to interpret and demonstrate the results obtained by any statistical software
Presentation
Topics will include:
PART 1 Descriptive Statistics :
Statistical analysis of Univariate and Bivariate data using graphical and numerical methods
Probability. Variables and distributions: Normal distribution, t distribution,Binomial distribution,
PART 2 Inferential Statistics
• Sampling distribution and Central Limit Theorem
• Statistical Inference: Confidence Interval for one and two population averages
Confidence Interval for one and two population proportions
• Hypothesis testing
1. Testing for one-population average and for one population proportion (z, t test).
2.Testing for significant association between a dummy categorical variable and a
quantitative variable (t- pooled test, t test for two population means with unequal variances)
3. Testing for significant relation between two qualitative data sets.
4.Linear simple regression :Testing for significant association between two quantitative variables
PART 1 Descriptive Statistics :
Statistical analysis of Univariate and Bivariate data using graphical and numerical methods
Probability. Variables and distributions: Normal distribution, t distribution,Binomial distribution,
PART 2 Inferential Statistics
• Sampling distribution and Central Limit Theorem
• Statistical Inference: Confidence Interval for one and two population averages
Confidence Interval for one and two population proportions
• Hypothesis testing
1. Testing for one-population average and for one population proportion (z, t test).
2.Testing for significant association between a dummy categorical variable and a
quantitative variable (t- pooled test, t test for two population means with unequal variances)
3. Testing for significant relation between two qualitative data sets.
4.Linear simple regression :Testing for significant association between two quantitative variables
Modalités
Organization
| Type | Amount of time | Comment | |
|---|---|---|---|
| Présentiel | |||
| Cours interactif | 48,00 | ||
| Travail personnel | |||
| Group Project | 10,00 | ||
| Charge de travail personnel indicative | 35,00 | ||
| Autoformation | |||
| Lecture du manuel de référence | 22,00 | ||
| Overall student workload | 115,00 | ||
Evaluation
This course is an interactive course. The students should be ready to analyze a data set, check all assumptions conduct the appropriate statistical analysis and interpret thoroughly the results obtained by the statistical software Assignments will be given in evey class. At the end of the semester and in groups of 2 -3, students will give an oral presentation,of their project. Participation counts as well.
| Control type | Duration | Amount | Weighting |
|---|---|---|---|
| Contrôle continu | |||
| QCM | 0,50 | 2 | 15,00 |
| Examen partiel | 1,50 | 1 | 20,00 |
| Participation | 0,00 | 0 | 10,00 |
| Exercices | 0,00 | 0 | 10,00 |
| Examen (final) | |||
| Examen écrit | 2,50 | 1 | 30,00 |
| Autres | |||
| Projet Collectif | 0,00 | 1 | 15,00 |
| TOTAL | 100,00 | ||
Ressources
Bibliography
Business Statistics - Berenson and Levine
Prentise Hall