Ateneo - UPO

The course consists in a first part with topics related to descriptive statistics and in a second part that will concern the inferential statistics and the statistical hypothesis tests

Triola MM, Triola MF. Fondamenti di Statistica per le discipline biomediche, Pearson

The course aims to: provide methodological issues related to descriptive and inferential statistics, select the appropriate statistical method to summarize study data, interpretation of the results

Basic knowledge in mathematics

The course includes lectures, during which the theoretical and methodological content of descriptive and inferential statistics will be presented and discussed, and in-class practical sessions, aimed at the practical application of theoretical concepts through exercises.

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/services-students-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 exam. The aim of the exam is to verify that students are able to appropriately apply the knowledge acquired during the course by solving exercises structured in multiple parts. These exercises concern the application of the methodologies learned during the course through calculation exercises and interpretation of the results obtained. Open-ended questions on the topics covered in the course are also included. Each exercise or question will be assigned a specific score, which will contribute to the determination of the final grade.

The frequency distribution. Measures of Central Tendency and dispersion. Properties of Probability Probability distribution: the Binomial and normal distribution. Sampling distribution. Distribution of the sample mean. Confidence interval. Type I and type II error and the power of a test. Hypothesis testing: a single population mean

Knowledge and understanding: to acquire an in-depth knowledge of the statistical methods needed for the analysis of clinical data.
Applying knowledge and understanding: to translate the theoretical and methodological notions acquired during the course into practice, applying them concretely to the solution of data analysis exercises.
Making judgements: to independently conduct the analysis of data obtained from sample surveys, identifying and proposing appropriate methodological solutions.
Communication skills: to communicate the knowledge acquired and the results of the analyses carried out with clarity and scientific and methodological rigor.
Learning skills: to independently analyze information obtained from clinical studies, collecting and organizing data and correctly interpreting the results.