Quantitative Methods II

Recommended Prerequisites

Basic knowledge of Mathematics.  

Teaching Methods

The classes are based on the discussion of examples (using real or simulated data) and exercises to apply the material being taught. Therefore, the analysis of real data will receive a considerable attention. Mathematical complexities will be kept to a minimum. 

Learning Outcomes

The main goals of this unit are studying exploratory data analysis methods, data collection methods and the main  inferential statistical methods. The student should develop the ability to interpret the obtained results and to critically evaluate the statistical methods being used. 

Work Placement(s)

No

Syllabus

1 . Exploratory data analysis: distributions

2 .Producing data

3 . Probability distribution: binomial and normal models

4 . Inference for proportions and means

5 . Association and linear regression. 

Head Lecturer(s)

Carlos Manuel Rebelo Tenreiro da Cruz

Assessment Methods

Continous Assessment
Frequency: 100.0%

Final Assessment
Exam: 100.0%

Bibliography

Introduction to the practice of statistics.

Moore, D.S., McCabe, G.P.

W.H. Freeman, 2006.

Estatística, notas de apoio às aulas.

Tenreiro, C.,

Coimbra, 2009.

Estatística aplicada à Administração e Economia.

Anderson, D.R., Sweeney, D.J., Williams, T.A.

Pioneira, Thompson Learning, 2000.