Descriptive Statistics (mean, median, mode, variance, standard deviation, graphs)
– Probabilities (experimental probability, sample space, theoretical probability, compound events, tree diagrams, sets and Venn diagrams, laws of probability, Bayes’ theorem).
– Statistical Distributions (discrete random variables, expectation, binomial distribution, Poisson distribution, normal distribution)
The course includes an individual project on descriptive statistics and a group project (questionnaire design, interviews, data entry, data analysis, presentation of results)