Statistical survey and survey design phases.
Basic concepts and definitions of sample theory: Probabilistic and Non Probabilistic sampling schemes.
UNIVARIATE ANALYSIS
The sample mean random variable and its distribution. The Central Theorem Limit.
Sampling error: analysis and relationship among its components.
Position, variability and shape indices for different types of variables.
Indicators and their construction (HDI, Happy Planet Index, Better Life Index, BES).
BIVARIATE ANALYSIS
Concept of dependency and interdependence: contingency tables, chi-square index, V of Cramér index, chi-square test, Odds, Odds Ratio.
Spearman Correlation coefficient .
Tests for Comparison between two groups .
ANALYSIS OF VARIANCE (one- and two-way).
Test for comparison between a theoretical and an empirical distribution.
MULTIVARIATE ANALYSIS
Observed variables and latent variables.
Exploratory factor analysis.
Analysis of Principal Components.
Confirmatory factorial analysis.

Fundamentals of R and R Studio for applications carried out on the topics covered.