Statistics I

Code:

1EC203

Acronym:

ESTI

Keywords
Classification	Keyword
OFICIAL	Mathematics

Instance: 2021/2022 - 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	337	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 critical knowledge.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Program

1. Descriptive Statistics
2. Probability.
3. Unidimensional 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

Complementary Bibliography

• Thomas Wonnacott and Ronald Wonnacott. ; Introductory Statistics for Business and Economics, 4th edition. , Wiley, 1993
• Bento Murteira, Carlos Ribeiro, João Silva e Carlos Pimenta; Introdução à Estatística. , Escolar editora, 2010
Newbold Paul; Statistics for business and economics. ISBN: 978-0-273-76706-0
• António Pedrosa e Sílvio Gama. ; Introdução Computacional à Probabilidade e Estatística. , Porto Editora, 2004. ISBN: 972-0-06056-5
• Andrew Siegel. ; Practical Business Statistics, 5th edition. , MacGraw-Hill, 2003

Comments from the literature

n.a.

Teaching methods and learning activities

Theoretical-Practical classes. All classes are in Portuguese.

Software

R package

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Teste	20,00
Exame	80,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	123,00
Frequência das aulas	39,00
Total:	162,00

Eligibility for exams

Final classification: 
maximum(20%*classification of the test + 80%*Classification of the exam, classification of the exam)

To be approved, the calssification of the exam must be >=8.0 and the final classification obtained by the formula above must be >=9.5 

Test: About chapters 1 and 2 (Descriptive Statistics; Probability)
Exam:  About all chapters 1,2,3,4  (Descriptive Statistics; Probability; Unidimensional random variables; Most important discrete and continuous distributions)




RETAKE EXAM
For students that were not approved in the normal season or to improve the classification.

Calculation formula of final grade

Final classification: 
maximum(20%*classification of the test + 80%*Classification of the exam, classification of the exam)

To be approved, the calssification of the exam must be >=8.0 and the final classification obtained by the formula above must be >=9.5 

Examinations or Special Assignments

Internship work/project

n.a.

Special assessment (TE, DA, ...)

n.a.

Classification improvement

By exam

Observations

n.a.