The course aims at introducing the student to the theory and applications concerning the main techniques of statistical inference. Through the use of these techniques it is possible to extend the information derived from a sample to the entire population.
The educational objectives of the Inferential Statistics are consistent with those provided by the educational regulations of the degree programs in which it is inserted. In general terms, the course offers to the students the opportunity to understand and apply the basics of the statistical inference typical for these degree classes and useful as a quantitative analysis tool for use in sample data for decision-making purposes in the economic, business and financial fields. Specifically, the teaching aims to provide the fundamental tools of the Statistical Inference, aiming to foster the development of knowledge and understanding of the problems arising from the statistical analysis of data on a sample of a population in the field of economic phenomena, Corporate and Financial, and to guide them to appropriate conclusions, even in situations of uncertainty.
Students will be able to use some of the key inferential statistical methods to analyze real-world phenomena in the socio-economic and business context and understand the fundamental aspects. Students successfully completing this course will be able to:
- understand when to use descriptive tools and when inferential ones;
- make decisions by verifying the hypothesis on the data observed on the socio-economic, business and financial realities;
- build linear regression models capable of finding a causal relationship between a variable response and explanatory variables;
- use satisfactorily a spreadsheet as Microsoft Excel