General Data | ||||
---|---|---|---|---|
Academic program | Incoming Exchange Student Courses | :
|
||
Type d'EC | Classes (LIIEXP06EMathEng) | |||
|
Status :
Obligatoire |
Period :
Semester 6_Robotique and Automation |
Education language :
English |
Learning Outcomes |
---|
- To be able to calculate and interpret descriptive statistics of samples and populations - To demonstrate an understanding of random variables and their use applied to certain standard probability distributions (Binomial, Poisson and Normal) - To demonstrate an understanding of the theory behind common statistical inference techniques and apply parametric hypothesis tests as appropriate - To be able to implement on a professional software (MINITAB), a complete statistical analysis |
Content |
---|
Introduction to statistics and probability - Graphical Tools to represent data Meaningful Values Probability Theory Common Discrete and Continuous Probability Distributions Convergence Theorems Sampling Estimations and Confidence intervals Statistical Tests Comparison of Normal Distributions Normality Assumption checking Homogeneity of a population: ANOVA Chi-Square test Correlation and linear regression |
Pre-requisites / co-requisites |
---|
None |
Bibliography |
---|
Course Lecture Notes |