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    UE Statistics and probability for life sciences - STA331 -

    • ECTS

      6 crédits

    • Composante

      Département de la licence sciences et technologies (DLST)

    • Période de l'année

      Automne (sept. à dec./janv.)

    Description

    This course aims at acquiring the basics of descriptive and inferential statistics. It will deal in particular with methods of point estimation, estimation by confidence interval, and hypothesis testing in a parametric framework. The teaching in the form of lectures/tutorial is completed by practical work sessions on computer aimed at familiarising students with the handling of the R software for statistics.



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    Heures d'enseignement

    • UE Statistics and probability for life sciences -TP36h

    Pré-requis recommandés

    Basic knolwledge in mathematics: calculus, fractions, powers and percentages, sequence of real numbers, etc.

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    Période

    Semestre 3

    Compétences visées

    • 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;
    • Identify a probabilistic model from a practical situation;
    • Compute confidence interval estimates for proportions, means, and variances;
    • Formulate hypotheses, compute tests statistics and p-values, interpret results and make practical decisions;
    • Perform analyses of variance (anovas) under different models, and understand their outcomes;
    • Adjust simple linear models, compute predicted values, test goodness-of fit by an anova;
    • Use the R statistical software
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