Global classification of statistical methods, parameters and aims -- Introduction to statistical inference and population description -- Punctual estimation of population characteristics using numerical and graphical parameters from sample -- Estimation of population parameters by confidence intervals -- Graphical representations of statistical variables -- Different probability laws describing variability of statistical populations -- Parametric hypothesis tests to statistical comparisons between two values -- Parametric comparison between several means: analysis of variance -- Nonparametric comparison tests applied to two samples -- Link analysis between two or more variables -- Sampling designs -- Spatial pattern analysis -- Biodiversity quantification methods -- Experimental designs.
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