Statistical Methods

Recommended Prerequisites

Not applicable.

Teaching Methods

The course is taught in a theoretical/practical way. The students that do not attend the class (total or partial), are responsible for its content and it is of their exclusive and unique responsibility to learn the material covered in class.

Learning Outcomes

To give the students a solid knowledge of statistics that allows them both to analyse any study that make use of statistical techniques and to give them theoretical support to develop their research project or to solve practical problems.

Work Placement(s)

No

Syllabus

1. Multiple linear regression

1.1 The least square values

1.2 The error variance

1.3 The coefficient of determination

1.4The adjusted coefficient of determination

1.5 The coefficient of partial determination

1.6 Inferences about the regression parameters

1.7 The generalized F-test

1.8 Dummy variables

1.9 Analysis of residuals

1.10 Multicolinearity

1.11 Errors heterocedasticity

2. Analysis of variance

1.10 Introduction

1.11 Completely randomized design of a single experience

1.12 Newman Keuls’ Test

1.13 One factor experimental design

1.14 One factor experimental block design

1.15 Missing one or more observations

1.16 Two factors experimental design

Head Lecturer(s)

Ana Maria Gomes Rodrigues

Assessment Methods

Assessment
Mid-term exam: 40.0%
Final exam: 60.0%

Bibliography

Rober Miller and Dean Wichern, Intermediate Business Statistics. Editora: Holt, Rinehart and Winston

John Neter, William Wasserman and Michael Kutner, Applied Linear Statistical Models. Editora: Irwin