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Our Degree Programs
Establishment
Language of instruction
French, English
Teaching content
Mathematics
Training officer(s)
A.DJOUAK
Stakeholder(s)
Kossi AGBEVE
Présentation
Goal
Understanding the basic statistical methods.
Understanding the usual statistical methods in agronomy.
Mathematics : knowing the basics of matrix algebra
Understanding the usual statistical methods in agronomy.
Mathematics : knowing the basics of matrix algebra
Presentation
Statistics :
- probability distributions
Inferential statistics: hypothesis testing, estimation
- comparison of a mean to a reference
- comparison of a percentage to a reference
- dependance between two variables
- 2-group comparison
- Analysis of Variance
- Linear regression
- Some non parametrical tests
Mathematics : matrix algebra
- Vector space
- Definition and manipulation of a matrix
- Diagonalisation
- probability distributions
Inferential statistics: hypothesis testing, estimation
- comparison of a mean to a reference
- comparison of a percentage to a reference
- dependance between two variables
- 2-group comparison
- Analysis of Variance
- Linear regression
- Some non parametrical tests
Mathematics : matrix algebra
- Vector space
- Definition and manipulation of a matrix
- Diagonalisation
Modalités
Organization
| Type | Amount of time | Comment | |
|---|---|---|---|
| Independent study | |||
| Estimated personal study time | 80,00 | ||
| Face to face | |||
| Seminar | 80,00 | (22 h maths + 58h stats) | |
| Overall student workload | 160,00 | ||
Evaluation
| Control type | Duration | Amount | Weighting |
|---|---|---|---|
| Continuous assessment | |||
| Written exam | 2,00 | 1 | 25,00 |
| Evaluation of exercices | 1,00 | 4 | 15,00 |
| Final Exam | |||
| Written exam | 2,00 | 1 | 30,00 |
| Written exam | 2,00 | 1 | 30,00 |
| TOTAL | 100,00 | ||