Statistics II

Code:

1GE210

Acronym:

EST II

Keywords
Classification	Keyword
OFICIAL	Mathematics

Instance: 2020/2021 - 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	187	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 with final exam

Assessment Components

Designation	Weight (%)
Participação presencial	0,00
Teste	100,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	39,00
Frequência das aulas	42,00
Total:	81,00

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

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.

For the final grade, tests 1 and 2 have an equal weighting of 12.5%. Test scores are rounded to one decimal. If the student does not take one of the tests, there will be zero in that test.

In the final grade, the test grade will have zero weight if the arithmetic mean of the test grades is less than or equal to the grade of the final exam.
If the arithmetic mean of the test scores is higher than the final exam score, the non-rounded final score is calculated as follows:

Final Grade = Max (25% (0.5 T1 + 0.5 T2) + 75% Exam; Exam)

The first test takes place in the middle of the semester and the first part of the syllabus is evaluated (point estimation and confidence intervals), and the second test is on the exam day of the normal season and the second part of the syllabus is evaluated (parametric and non-parametric hypotheses testing).

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.