Statistics for Social Sciences

Courses

*Degree in Education*|*Degree in Social Sciences*
Statistics for Social Sciences

Courses *Degree in Education* | *Degree in Social Sciences*

Cod: 21044

Department: DCET

Department: DCET

ECTS: 6

Scientific area: Mathematics

Scientific area: Mathematics

Total working hours: 156

Total contact time: 15

Total contact time: 15

Nowadays we are increasingly confronted with statistical analysis of various types of data (poll ratings, average living standards of a given population, etc.). Simultaneously, there is a need to know how to interpret and evaluate statistical results. In this context, the course Statistics for the Social Sciences presents itself as an introduction to Statistics and Probability Theory, are analyzed and studied the main aspects and concepts inherent in both theories: description and data processing of an observation, notion of population, introduction to probability calculation characterization of distributions and their indicators of location, dispersion and shape. We also explore data analysis and representation with statistical software

Data Analysis, representation and reduction

Descriptive Statistics

Correlation and Regression

Probability

Descriptive Statistics

Correlation and Regression

Probability

It is expected that by completing this course, student should be able to:

- Recognize the role and importance of statistics to aid the processing and analyzing data;

- Organize statistical data;

- Perform statistical analysis within the themes addressed.

- Recognize the role and importance of statistics to aid the processing and analyzing data;

- Organize statistical data;

- Perform statistical analysis within the themes addressed.

1. Definition of population and sample. Problems associated with data acquisition;

2. Analysis, representation and data reduction;

3. Sample characteristics. Measures of location and dispersion;

4. Bivariate data. Correlation and regression;

5. Probability.

2. Analysis, representation and data reduction;

3. Sample characteristics. Measures of location and dispersion;

4. Bivariate data. Correlation and regression;

5. Probability.

Elizabeth Reis (2009): Estatística Descritiva, Edições Silabo, 7ª edição

Francisco Mercês de Mello, Rita Cabral Guimarães (2015): Métodos Estatísticos para o Ensino e a Investigação nas Ciências da Saúde, Edições Silabo

Graça Martins, M. E., Cerveira, A. G. (1999): Introdução às Probabilidades e à Estatística. Universidade Aberta, nº 174

Francisco Mercês de Mello, Rita Cabral Guimarães (2015): Métodos Estatísticos para o Ensino e a Investigação nas Ciências da Saúde, Edições Silabo

Graça Martins, M. E., Cerveira, A. G. (1999): Introdução às Probabilidades e à Estatística. Universidade Aberta, nº 174

E-learning

Continuous assessment is privileged: 2 or 3 digital written documents (e-folios) during the semester (40%) and a
presence-based final exam (p-folio) in the end of the semester (60%). In due time, students can alternatively choose to perform one
final presence-based exam (100%).

Universidade Aberta has SPSS academic licenses for personal computers (free for students), in case this software is adopted.