Ateneo - UPO

The course illustrates some statistical methods that may be of interest for the training of a lawyer. Topics of descriptive statistics, probability calculus and the problem of decisions linked to sample statistics are dealt with.

The textbooks will be indicated at the beginning of the course. Additional materials will be made available on the course’s DiR page.

The main goal of the course is not focused on the mere execution of algorithm methods, but rather on understanding the results obtained and the potential in the tools presented.

Basic algebra.

Lectures.

Attendance is not mandatory but is strongly recommended. Students with physical disabilities, Learning Disabilities or Special Education Needs can request specific services and tools via the Staff Sviluppo e Coordinamento Carriere e Servizi alle Studentesse e agli Studenti, consulting the University webpage: https://www.uniupo.it/en/services/servicesstudents-physical-or-learning-disabilities. Students with disabilities, learning disabilities or special education needs, once they have contacted the University Staff, can refer to the tutor in charge of the course to define the examination modalities, concerning academic aspects.

Written and oral examination.

Population, sample, variable, modality. Frequency distributions and their representations. Summary indicators: averages and measures of variability. Double entry tables and conditional distributions. Linear regression function: calculation of coefficients and measurement of the goodness of fit. Elements of probability calculus. Conditional probabilities and Bayes formula. Samples and estimates (point and interval). Testing of statistical hypotheses: I and II type errors, level and power. Decision rules and p-value.

Students are expected to acquire the fundamental concepts of descriptive and inferential statistics, develop the ability to correctly interpret results, and identify the contexts in which the presented techniques can be effectively applied.