Statistics II

Code:

1GE210

Acronym:

EST II

Keywords
Classification	Keyword
OFICIAL	Mathematics

Instance: 2022/2023 - 2S

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

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
LGES	321	Bologna Syllabus since 2012	2	-	3	42	81

Teaching language

Portuguese

Objectives

This curricular unit aims at developing users with critical opinion of statistical methods able to solve problems in new situations. Build skills so that students are able to correctly apply the techniques and statistical concepts applied to real problems situations. Acquisition of knowledge resulting from the study of Statistical Inference and Econometrics.

Learning outcomes and competences

By the end of the CU the students should be able to apply thhe main probability models, understand the concepts leading to statistical inference; be able to apply statistical methods, bearing in mind their rigorous mathematical formulation and applicability conditions.

Working method

Presencial

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

The curricular unit Estatística I.

Program

Statistical inference:
1. Introduction. Sampling Distributions.
2. Parametric point estimation: methods and properties
3. Parametric interval estimation.
4. Parametric hypothesis tests.
5. Non-parametric hypothesis tests.

Mandatory literature

Bento Murteira, Carlos Silva Ribeiro, João Andrade e Silva, Carlos Pimenta; Introdução à Estatística, McGraw-Hill, 2002
Bento Murteira; Probabilidades e Estatística, McGraw-Hill, 1990 (2ª ed.)

Complementary Bibliography

Figueiredo Fernanda Otília de Sousa 070; Inferência estatística. ISBN: 978-972-592-501-0
Carlos D. Paulino, João A. Branco; 'Exercícios de Probabilidades e Estatística, Escolar Editora, 2005

Teaching methods and learning activities

The lectures will focus the theoretical aspects of the theory but also include the discussion of exercises.
The methods are presented and discussed in class in the context of practical problems and exercises. There is a discussion on the applicability condtions of the methods and emphasis is given to  the interpretation of the results.
As a complement the curricular unit has an on-line course available through e-learning platform of Porto University.
All classes are in portuguese.

keywords

Physical sciences > Mathematics > Statistics

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	120,00
Frequência das aulas	42,00
Total:	162,00

Eligibility for exams

The distributed evaluation with a final exam will consist of three evaluation moments: two tests carried out remotely in Moodle during the semester and a final exam. These tests have as main objective the self-assessment, being a way for each student to understand if he / she acquired the knowledge in an appropriate way.
Any student in a distributed assessment may, at any time, withdraw from it and choose to be assessed only by final exam.

Calculation formula of final grade

All students can attend the final exam.

Alternatively, students that are registered in one of the 4 classes may choose  to be evaluated by mid-term test (point estimation and confidence intervals topics in the middle of the semester) and end of term tests (parametric and non-parametric hypothesis tests topics in the same day of the final exam) if:

• they miss at most 6 lesson during the semester
• obtain at least a grade of 7.5/20 in both tests.

In this case the final grade will be the average of the two tests grades.

Examinations or Special Assignments

Complementary Exam - To obtain a grade greater than 18, students will have to perform a further oral or written exam.

Classification improvement

Final grades can be improved at final exams only.

Observations

NOTE:
The number of absenses to the classes is tallied from the first class onward.