Applied Statistics

Recommended Prerequisites

NA

Teaching Methods

Theoretical and practical classes.

Learning Outcomes

The pedagogical and scientific design of this curricular unit is based on an integrated training-oriented plan following the principles and statistics methods applied to work and, eventually,research in social service. The learning outcomes are organized in three main fields:

Attitudes(students should be able to promote a favourablemental attitude concerning learning of statistics;Understand the importance of data analysis to develop a critical and reasoned view on the functioning of modern society); Knowledge(students should acquire the essential concepts and procedures of basic statistics; achieve an intermediate level of statistical literacy);Skills (students should know how to use IT tools to build data files; carry out basic and intermediate statistic analysis, particularly concerning statistical inference; know how to interpret correctly the results obtained by using different statistical techniques;be able to write a research report that deals with quantitative data analy

Work Placement(s)

No

Syllabus

    I - Basics of Statistics: Definition of concepts.

   II - The general process of research and quantitative data analysis and issues concerning the measurement of variables.

  III - Descriptive statistics: analysis of distribution of discrete and continuous variables using graphs and numerical methods.

  IV - Introduction to inferential statistics and normal distribution.

   V - Sampling Plans.

  VI - Elements and techniques for assessing association: correlation and simple linear regression.

 VII - Inferential statistics applied to statistical hypothesis tests(tests of statistical significance).

VIII - Laboratory assignments of quantitative data analysis.

Head Lecturer(s)

José Manuel Pacheco Miguel

Assessment Methods

Assessment
100% - two theoretical /practical tests - Type A+ Type C: 100.0%

Bibliography

Antonius, R. (2003). Interpreting quantitative data with SPSS. London: Sage.

Cohen, B. (2008). Explaining Psychological Statistics. Hoboken, NJ: Wiley.

Field, A. (2005). Discovering Statistics Using SPSS (2nd ed.). London: SAGE.

Guéguen, N. (1999). Manual de estatística para psicólogos. Lisboa: CLIMEPSI.

Pestana, M. H. e Gageiro, J. N. (2008). Análise de Dados para Ciências Sociais - A complementaridade do SPSS (5ª ed.). Lisboa:

Edições Sílabo.

Maroco, J. (2007). Análise estatística – Com utilização do SPSS (3ª ed.). Lisboa: EdiçõesSílabo.

Norusis, M. (2012). IBM SPSS Statistics 19 Guide to Data Analysis. Upper Saddle River, NJ: Pearson.

Other student resources:

<http://davidmlane.com/hyperstat/index.html>

<http://davidmlane.com/hyperstat/normal_distribution.html>

http://faculty.vassar.edu/lowry/VassarStats.html