UE Statistics and probability for life sciences - STA331 -

Diplômes intégrant cet élément pédagogique :


This course is an introduction to the basic techniques of  statistical data treatment, with an emphasis on practical skills and the use of the statistical software R. At the end of the course, the students should be able to: load, explore, and summarize graphically a set of data; understand what is a probabilistic model, discrete or continuous; perform simple computations on some basic models, in particular binomial and Gaussian models ; identify a probabilistic model from a practical situation; compute confidence interval estimates for proportions, means, and variances; formulate hypotheses, compute statistics tests and p-values, interpret results and make practical decisions; perform analyses of variance (anovas) under different models, and understand their outcomes ; ajust simple linear models, compute predicted values, test goodness-of-fit by an anova.

Pré-requis recommandés


Compétences visées

Basics of data analysis in R : replace by Basics of statistical data analysis in R



Informations complémentaires

Lieu(x) : Grenoble
Langue(s) : Anglais