Statistics I

Code:

1EC203

Acronym:

ESTI

Keywords
Classification	Keyword
OFICIAL	Mathematics

Instance: 2015/2016 - 1S

Active?	Yes
Responsible unit:	Agrupamento Científico de Matemática e Sistemas de Informação
Course/CS Responsible:	Bachelor in Economics

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
LECO	287	Bologna Syllabus since 2012	2	-	6	42	162

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)

Learning outcomes and competences

The students should Know the most important concepts of the Probability Theory, and apply these concepts with rigor and critiical knowledge.

Working method

Presencial

Program

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

Mandatory literature

• Fernanda Figueiredo, Adelaide Figueiredo, Alexandra Ramos e Paulo Teles. ; Estatística Descritiva e Probabilidades - Problemas resolvidos e propostos com aplicações em R, 2ª edição, Escolar Editora, 2009. ISBN: 978-972-592-249-1
• Bento Murteira, Carlos Ribeiro, João Silva e Carlos Pimenta; Introdução à Estatística. , Escolar editora, 2010

Complementary Bibliography

• Andrew Siegel. ; Practical Business Statistics, 5th edition. , MacGraw-Hill, 2003
• António Pedrosa e Sílvio Gama. ; Introdução Computacional à Probabilidade e Estatística. , Porto Editora, 2004. ISBN: 972-0-06056-5
• Thomas Wonnacott and Ronald Wonnacott. ; Introductory Statistics for Business and Economics, 4th edition. , Wiley, 1993

Teaching methods and learning activities

Theoretical-Practical classes. All classes are in Portuguese.

Software

R package

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Teste	100,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	40,00
Frequência das aulas	28,50
Total:	68,50

Eligibility for exams

50%*Classification of 1st test + 50%*Classification of 2nd test (both tests must have a classification greather or equal than 6.0) or Classification of final examination.

Calculation formula of final grade

50%*Classification of 1st test + 50%*Classification of 2nd test (both tests must have a classification greather or equal than 6.0) or Classification of final examination.

Observations

NOTE: The count of faults to the discipline of statistics (I) for the purposes of continuous assessment (testing) is made from the beginning of the academic year (September 15, 2014 days). Despite the enrollment of these students be made/regularized later, students must also indicate your preferences to schedule/class at the same time the other students already enrolled, so that they can attend classes and be controlled to their attendance (otherwise will have faults and will be prevented from conducting evaluation tests).