Statistics I

Code:

LEC203

Acronym:

EST I

Keywords
Classification	Keyword
OFICIAL	Mathematics and Informatics

Instance: 2008/2009 - 1S

Active?	Yes
Responsible unit:	Matematics and Informatics Group
Course/CS Responsible:	ECONOMICS

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
ECO	18	Official Curricular Structure since 2004	2	2		-

Teaching language

Portuguese

Objectives

In the end of the course, students should:
1. Know the most important concepts of the Probability Theory, which are essential for the study of Statistical Inference and Econometrics.
2. Be able to apply the probability concepts, never forgetting their rigourous mathematical formularisation, even when intuitively understood.
3. Be able to do a report on data analysis (computing descriptive statistics and presenting graphical representations, together with the use of the software R)

Program

1. Probability.
2. Unidimensional and bidimensional random variables
3. Most important discrete and continuous distributions
4. Descriptive Statistic

Mandatory literature

• Figueiredo, F., Figueiredo, A., Ramos, A. e Teles, P. ; Estatística Descritiva e Probabilidades. Exercícios resolvidos e propostos com aplicações em R. , Escolar Editora., 2007

Complementary Bibliography

Wonnacott, T. H. e Wonnacott, R. J. ; Introductory Statistics for Business and Economics, 5ª ed., John Wiley and Sons, Toronto., 1993
• Hines, W. W. e Montgomery, D. C. ; Probability and Statistics in Engineering and Management Science, John Wiley and Sons, Nova Iorque., 1990
Pestana, Dinis e Velosa, Sílvio ; Introdução à Probabilidade e à Estatística, Vol. I.. Manual Universitário, Fundação Calouste Gulbenkian., 2002
• Murteira, B., Ribeiro, C., Silva, J. e Pimenta, C.; Introdução à Estatística. , McGraw- Hill., 2000
Paulino, D. e Branco, J. ; Exercícios de Probabilidade e Estatística. , Escolar Editora, 2005

Teaching methods and learning activities

Theoretical-Practical classes.
All classes are in Portuguese.

Software

Linguagem R
R (www.r-project.org)

Evaluation Type

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Attendance (estimated)	Participação presencial	0,00
	Total:	-	0,00

Calculation formula of final grade

30%*Classification of 1st test + 30%*Classification of 2nd test + 40%*Classification of 2nd test
or
Classification of final examination.

Observations

Use of the software R