Statistics

Recommended Prerequisites

Statistics (LEI).

Teaching Methods

The teaching is provided in theoretical sessions. These sessions are expository and include the presentation of examples applying the methods introduced with use of statistical software (R, SPSS,…).

Learning Outcomes

The aim of this course is to give to the student the basic skills that may be expected for any scientist in the use of statistics, like: the ability of dealing with statistical methods for collecting, organizing and describing data and  the ability to use parametric and non-parametric methods of statistical inference for drawing conclusions from properly produced data.

This unit allows developing the following instrumental skills: analysis and synthesis, problem solving and decision-making capacity. On a personal level enables the development of critical thinking, work in interdisciplinary teams, autonomous learning, adaptability to new situations and application of theoretical knowledge.

Work Placement(s)

No

Syllabus

1. Brief reviewing of  random variables.
2. Statistical Inference 2.1 Parametric Estimation 2.2 Parametric and Non-Parametric Tests 2.3 Analysis of Variance 2.4 Linear Regression Models.
This program will be complemented, in practice, using a Statistical Software Package (R, SPSS, …).

Head Lecturer(s)

Cristina Maria Tavares Martins

Assessment Methods

Assessment
Exam: 100.0%

Bibliography

Moore, D.S. and McCabe, G.P  Introduction to the Practice of Statistics, 4th edition, W.H. Fremn and Company, New York, 2003
Devore, J.L  Probability and Statistics for Engineering and the Sciences, 7th Edition, Pacific Grove: Duxbury, 2007
Pesarin, F. and Salmaso, L.  Permutation Tests for Complex Data: Theory, Applications and Software, John Wiley and Sons, Ltd, 2010