20356 - PRECORSO DI STATISTICA / STATISTICS - PREPARATORY COURSE

The course has not specific prerequisites

The course aims to provide students with the basic knowledge of statistics and data analysis necessary to face the compulsory courses of Quantitative Methods, present in the Master M, IM, MM, GIO, PPA.

• Introduction to data sources, database, sampling.
• Description of qualitative data: classification of variables, univariate and bivariate analysis, graphical  representations.
• Description of quantitative data: summary measures, outliers detection, bivariate analysis, scatter plots.
• Probability and random variables(brief notes): standard distributions
• Introduction to inferential statistics: point and interval estimation, introduction to esting theory
• Test for bivariate analysis: test of indipendence, test on the difference of means.
• Simple regression and test on the coefficients.

• Recognize different types of data.
• Understand the difference between the tools of descriptive and inferential statistics, and identify the most suitable approach for the problem at hand.
• Recognize simple statistical models.

• Properly summarize a dataset.
• Estimate and test hypotheses on the unknown parameters of a population based on sample data.
• Build simple statistical models, as regression models, to study the relationships between variables of interest.

• Face-to-face lectures

Paul Newbold, William Carlson and Betty Thorne, STATISTICS FOR BUSINESS & ECONOMICS 9e, 2019