Statistics with R

The aim of this course is to teach you how to perform basic statistical analysis using R. First we review the foundations (sampling theory, discrete and continuous distributions), then we focus on classical hypothesis testing. This course will improve your generic statistics knowledge.


  • Sampling theory: obtaining information about a population via sampling.
    Sample characteristics (location, dispersion, skewness), estimation of the mean, standard error of the mean.
  • Discrete and continuous probability distributions. Central limit theorem.
  • Hypothesis testing. Basic principles, one- and two-sided testing, types of errors, power calculations.
  • "Cookbook of tests": location testing, normality, variance comparisons,
    counting statistics, contingency tables, regression tests.