PT|EN
Applied Statistics to Consumption Sciences
Courses Master's Degree in Food Consumption Sciences
Cod: 22016
Department: DCET
ECTS: 7
Scientific area: Mathematics
Total working hours: 195
Total contact time: 35

In this course are introduced the concepts and fundamental techniques of statistical analysis and statistical inference, and demonstrated their usefulness to solve problems in the area of Food Science.

Analysis of Variance
Linear Regression
SPSS
Statistical Inference

At end of this course each student should be able to:
  •  Characterize, distinguish and apply some of the techniques of descriptive statistics;
  • Apply and interpret some methods of Parametric and Non-Parametric Inference,
  • Analysis of Variance (ANOVA) and
  • Linear Regression.
The main objective will be for the student to be able to recognize the importance of different statistical analyses and to know how to use these techniques in practice. This course unit has a very practical component with the use of SPSS software for data analysis, statistical implementation and interpretation of concrete examples.
 

1. Revisions on Descriptive Statistics: classification of variables, sample statistics, graphical representation;
2. Parametric Hypothesis Tests: t-student test (independent and paired samples), variance ratio;
3. Non-Parametric Hypothesis Tests: Chi-square test; Kruskal-Wallis test; Wilcoxon test; Kolmogorov-Smirnov test;
4. Analysis of Variance (ANOVA);
5. Linear Regression.

All topics of the program will be given in a practical perspective, always accompanied with the use of SPSS software for the implementation of the different methods and interpretation of statistical tests in practical examples.


 
 

Recommended:
•    T. A. Oliveira (2004), Estatística Aplicada, Universidade Aberta
•    Pereira, A. (2013) SPSS, Guia Prático de Utilização, Edições Sílabo, Lisboa

Complementary:
•    Reis, E., Calapez T. Estatística Aplicada, Edições Silabo, Volumes I e II
•    Marôco, J. (2014) Análise Estatística com o SPSS Statistics, Edições Sílabo, Lisboa.
•    Campos Guimarães, R. e Sarsfield Cabral, J.A. (2011), Estatística. Lisboa, Portugal, Verlag Dashofer.
•    Tyrrell, S. (2009), SPSS: Stats Practically Short and Simple; BookBoon.com (ebook)

 

E-learning

Evaluation is made on individual basis and it involves the coexistence of two modes: continuous assessment (60%) and final evaluation (40%). Further information is detailed in the Learning Agreement of the course unit.