This course provides basic knowledge of statistics. The course is aimed to level differences in prior knowledge among students and provide the necessary base for the next two statistical courses.

Obligatory book: "The Practice of Statistics in the Life Sciences” by Baldi and Moore (MacMillan publishers), 4th Edition

• Explain and use the different types of variables: quantitative (numerical vs qualitative (non-numerical) with their corresponding sub-types (continuous, discrete, ordinal, non-ordinal)
• Summarize data in a graphical and numerical way, using measures of location and dispersion
• Interpret data that is presented both graphically and numerically
• Calculate the different types of frequency measures, being 'absolute', 'relative' and 'cumulative' frequency
• Calculate (standard) normal probabilities, apply standardization formula for normally distributed data
• Calculate binomial probabilities
• Apply the principle of statistical inference from sample to population
• Perform simple statistical analysis in the statistical packages R