2024
Statistics Applied to Human and Social Sciences
Name: Statistics Applied to Human and Social Sciences
Code: MAT02558L
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Mathematics
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Sustainable Development Goals
Learning Goals
To use basic procedures for descriptive statistics analyzys
To acquire basic knowledge of the main topics in Probability and Statistics.
To facilitate the understanding and integration on a critical basis of literature related to statistics in their field of applications: statistical inference, statistical significance, parametric and non parametric data analysis
To apply and interpret Linear Regression.
To acquire basic knowledge of the main topics in Probability and Statistics.
To facilitate the understanding and integration on a critical basis of literature related to statistics in their field of applications: statistical inference, statistical significance, parametric and non parametric data analysis
To apply and interpret Linear Regression.
Contents
Descriptive statistics
Introduction to probability
Random variables : unidimensional and bidimensional
Main probability distributions
Introduction to sampling
Point estimation and confidence intervals
Hypothesis testing
Goodness of fit and independence tests
Other non-parametric tests
Correlation and linear regression
Use of statistical software.
Introduction to probability
Random variables : unidimensional and bidimensional
Main probability distributions
Introduction to sampling
Point estimation and confidence intervals
Hypothesis testing
Goodness of fit and independence tests
Other non-parametric tests
Correlation and linear regression
Use of statistical software.
Teaching Methods
Exposition of theory on the blackboard, with transparencies and data-show when appropriate.
Resolution of exercises on the blackboard.
Resolution of exercises with computers.
Introduction to theoretical concepts using real applications related to the field of study and to show relevant programmatic contents.
Motivating examples and exercises of the field of applications to motivate interest for the course and to show its utility.
Assessment methods: Evaluation by final exam, or by two tests. To take into account students? performance and work during regular classes for final grade if it?s beneficial for the student.
Resolution of exercises on the blackboard.
Resolution of exercises with computers.
Introduction to theoretical concepts using real applications related to the field of study and to show relevant programmatic contents.
Motivating examples and exercises of the field of applications to motivate interest for the course and to show its utility.
Assessment methods: Evaluation by final exam, or by two tests. To take into account students? performance and work during regular classes for final grade if it?s beneficial for the student.
Teaching Staff (2023/2024 )
- Jorge Manuel Azevedo dos Santos [responsible]
