Base Knowledge
In the CU of Mathematics III, students must have knowledge of the subjects taught in the subject of mathematics applied to social sciences or mathematics in primary and secondary education, in particular, in the domains of “Data Organization and Processing”.
Teaching Methodologies
Lectures will be of theoretical and practical nature, dealting basic concepts of Statistics and Probability, using whenever possible problem situations. Will also provided the use software.
Learning Results
By the end of the CU the student should be able to:
– understand the logic and purpose of statistical investigations;
– understand statistical processes;
– implement procedures for data collection, as well as its treatment, representation and interpretation;
– develop techniques and interpretation of statistical literacy in general;
– communicate statistically.
Program
- Purpose of Statistics. The statistical problem. Statistic Method. Sample. Sampling methods.
- Descriptive Statistics – Measurement; types of scales, frequency distributions and graphical methods for summarizing data. Measurements of position (and other central tendency) and measures of dispersion.
- Association variables. Spearman and Pearson correlation coefficients. Regression Analysis: determining the equation of the regression line. Association of categorical variables.
- Notions of Chance and Probability. Definitions of probability. Types of events. Sets and probability. Laws of probability. Probability simple. Probability involving more than one event. Conditional probability. Independent events. Trees of probability. Normal probability distribution.
Curricular Unit Teachers
Grading Methods
- - Exam - 100.0%
- - Attendance and Participation - 20.0%
- - Two written tests - 50.0%
- - Individual and/or Group Work - 25.0%
- - Individual reflexion - 5.0%
Internship(s)
NAO
Bibliography
Barroso, M; Sampaio, E; Ramos, M (2003). Exercícios de estatística descritiva para as ciências sociais. Lisboa: Edições sílabo.
Garfield, J; Bem-Zvi, D (2008). Developing students' statistical reasoning: connecting research and teaching practice. New York: Springer
Huff, D. (2013) Como mentir com a estatística. Lisboa: Gradiva
Marôco, J. (2011). Análise Estatística com ultização do SPSS Statistics. Pero Pinheiro: ReportNumber.
Martins, M. E. e outros (2007). Análise de dados. Texto de apoio para professores do 1ºciclo. Lisboa: ME, DGIDC.
Martins, F. e outros (2017). Educação Pré-Escolar e Literacia Estatísticsa – A criança como investigadora. Viseu:Psicosoma.
O’Donoghue, P. (2012). Statistics for Sport and Exercise Studies. London: Toutledge.
Rees, D. (2001). Essential Statistics. London: Chapman & Hall.
Reis, E. (1997). Estatística Aplicada. Vols. I e II; Lisboa: Edições Sílabo.
Vincent, W.; Weir, J. (2012). Statistics in Kinesiology – 4th Edition. EUA: Human kinetics.