The course introduces the basic concepts of descriptive Statistics. Principal topics: distributions and graphics; means, variability, skewness; bivariate distributions, dependence in mean, correlation, simple linear regression. Probability.
Cicchitelli (2012) Statistica. Principi e Metodi. Seconda Edizione. Pearson.
Learning Objectives
The student should learn the basics of descriptive Statistics, understanding the properties of the methods and being able to apply them to data. Furthermore, the student should know the basics of probability theory and should be able to make applications to real cases.
Prerequisites
none
Teaching Methods
lessons in classroom
Type of Assessment
paper examination + oral examination
Course program
Introduction. Types of variables. Ratios. Statistical distributions. Graphics. Mode, meadian and analytical means. Variability. Heterogeneity. Skewness and kurtosis. Chebicev inequality. Bivariate distributions. Indexes of association. Variance decomposition and dependence in mean. Covariance and correlation. Simple linear regression. Introduction to probability.