Applied Statistical Methods

Non applicable

The classes are theoretical-practical, where the theoretical exposition of the subjects is accompanied by the presentation of practical examples, supported by computer tools (Excel and SPSS), and the resolution of exemplary exercises transmitting the concepts of Statistics applied to Social Sciences.

1) To identify and collect qualitative / quantitative data relevant to the case study;

2) To select appropriate statistical techniques to describe available data;

3) To organize numerically and graphically the results of the use of different statistical methodologies;

4) To interpret numerical and graphical results correctly;

5) To use data analysis programs (Microsoft Excel / SPSS – Statistical Package for Social Sciences).

1. Construction of a questionnaire. Measuring scales. Collection of data (qualitative and quantitative).

2. Descriptive statistics: measures of central tendency, measures of non-central tendency, measures of dispersion,  measures of shape: skewness and kurtosis. Graphical representations.

3. Elementary theory of probability. Discrete and continuous one-dimensional random variables. Most common theoretical distributions: discrete and continuous.

4. Hypothesis tests for a population parameter.

5. Non-parametric tests.

6. Analysis of variance.

7. Regression analysis.

8. Analysis of time series.

• - Group work - 20.0%
• - 2 written tests - 80.0%

• - Written test - 100.0%

NAO