 The process of scientific knowledge: how to generate and verify a hypothesis. Why statistics is so important for health professionals?
 Descriptive statistics: definition of variable, frequencies
 Data synthesis: measures of position, variability, symmetry
 Probability and known distributions: binomial and normal distributions
 Population and sample. Elements of sampling theory: definition, simple random sample, clustering, stratification. Central limit theorem and probability distribution for the sample mean
 Elements of statistical inference: general theory for hypothesis test
 Test on the mean of one population, test on the mean of two populations
 Confidence intervals