TCSS5AE Statistics for Decision Making and Forecasting
Duration : 30 heures
ECTS Credits : 3.5
Semester : S5
Person(s) in charge :
Thierry Verdel, Professor, firstname.lastname@example.org
Keywords : Inference, Probability, Risk, Decision, Estimation, Control, Normal distribution, Student, Chi2, Snédécor, Significance test, Linear regression analysis, ANOVA.
Prerequisites : Algebra and Analysis at a higher mathematics level (or undergraduate level scientific studies)
Objective : Show how Statistics allow the control of complexity and aleatory
Program and Content :
The course presents basic methods of inferential statistics, which allows the quarrying of general knowledge on populations from extracted samples. Its mastery permits to follow with sucess advanced analysis and decision-making courses. The course consists of 9 lab works and 1 written test. A handout is given at the beginning of the course and complements are available on the website of the class.
- Probability and random variables
Description and operational verbs
Basic notions of probabilty and random variable, the Normal, Student, Chi2 Snedeco Laws and their applications.
Principles of statistical estimation and control, significance tests, union technics, analysis and regression of variance.
Be able to apply these technics to data sets which are properly presented to be processed
Know how to organize a data set to adapt a statistical process, how to choose the most suitable method, and know how to interpret the results to draw conclusions.
Be able to suggest an analytical method of a problem based on the acquisition of data to determine, and apply one or more methods seen in class.
Be able to take a critical look at the conclusions of an statistical analysis and when appropriate, question them with scientific arguments.
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