Statistical Analysis
Objectives
This curricular unit aims at supplying to the students the theoretical and practical knowledge about methodologies on parametric and nonparametric statistical inference. Students will explore the core principles of statistics, from both the conceptual and applied perspectives. The students will acquire competences related to random variables, estimators, sampling distributions, point and interval estimation and hypothesis testing. Additionally, some issues of asymptotic distributions are addressed. Moreover, the analysis of variance is introduced, as well as several nonparametric statistical tests. The students will clearly understand the conditions of applicability of each procedure. The concepts and principles will be illustrated using real-world concepts applicable to many industries, including medical, business, sports, insurance, etc.
General characterization
Code
200185
Credits
7.5
Responsible teacher
Maria Leonor do Carmo Fernandes
Hours
Weekly - Available soon
Total - Available soon
Teaching language
Portuguese. If there are Erasmus students, classes will be taught in English
Prerequisites
Available soon
Bibliography
Teaching method
Evaluation method
Subject matter
Programs
Programs where the course is taught:
- Specialization in Information Analysis and Management
- Specialization in Risk Analysis and Management
- Specialization in Business Intelligence
- Specialization in Information Systems
- specialization in Digital Transformation
- Specialization in Business Intelligence – Working Hours
- specialization in Information Systems - working hours
- PostGraduate in Information Analysis and Management
- PostGraduate Risk Analysis and Management
- PostGraduate in Business Intelligence
- PostGraduate in Information Management and Business Intelligence in Healthcare
- PostGraduate Information Systems Management
- PostGraduate in Enterprise Information Systems
- Pós-Graduação em Transformação Digital