Probability and Statistics C

Code:

M2045

Acronym:

M2045

Keywords
Classification	Keyword
OFICIAL	Mathematics

Instance: 2024/2025 - 2S

Active?	Yes
Responsible unit:	Department of Mathematics
Course/CS Responsible:	Bachelor in Engineering Physics

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
L:EF	67	study plan from 2021/22	2	-	4,5	32	121,5

Teaching language

Portuguese

Objectives

Upon completing this course, the student should:

- have a good insight of the fundamental concepts and principles of statistics, and in particular those from basic inference statistics.

- know the common inference statistical  methods and how to apply them to concrete situations;

It is also expected that the student acquires familiarity with the programing language and software environment R, in the framework of problems solving.

Learning outcomes and competences

be able to identify and formulate a problem, to choose adequate statistical methods and to analyze and interpret in a critical way the obtained results.

Working method

Presencial

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

 

Program

1. Brief introduction to the objectives and methodology of statistics. 

2. Descriptive Statistics: definition of a statistic, types of observations and measurement scales; techniques for summarizing data (tables, graphs, measures of location and dispersion), outlier definition and the concept of correlation. 

3. Some probability distributions: discrete distributions (uniform, binomial, and Poisson) and continuous (uniform, normal, exponential, chi-square and t-student. F); de Moivre-Laplace and the Central Limit theorems.

4. Random variables: discrete and continuous cases, distribution, mean and variance. Some probability distributions: discrete (uniform, binomial) and continuous (uniform, normal, chi-square, t-student and F) distributions; Central Limit theorem.

5. Sample distributions.

5. Statistical inference:point estimation (main concepts and properties of estimators);  interval estimation (confidence intervals for the mean, difference in means, proportion, difference in proportions, variance); hypotheses tests (parametric).

Mandatory literature

Douglas C. Montgomery; Applied statistics and probability for engineers. ISBN: 0-471-17027-5
Christopher J. Wild; Chance encounters. ISBN: 0-471-32936-3
Bento José Ferreira Murteira; Introdução à estatística. ISBN: 972-773-116-3

Complementary Bibliography

Myra L. Samuels; Statistics for the life sciences. ISBN: 978-0-13-122811-5 0-13-122811-0

Teaching methods and learning activities

Lectures and classes: The contents of the syllabus are presented in the lectures, illustrated with several examples. In the practical classes, exercises and related problems are solved and discussed. Several real data sets will be analyzed using the statistical software R. All resources are available for students at the unit’s web page.

 

Software

R

keywords

Physical sciences > Mathematics > Statistics

Evaluation Type

Evaluation with final exam

Assessment Components

designation	Weight (%)
Exame	100,00
Total:	100,00

Amount of time allocated to each course unit

designation	Time (hours)
Estudo autónomo	89,50
Frequência das aulas	32,00
Total:	121,50

Eligibility for exams

No requisites.

Calculation formula of final grade

Approval for the curricular unit can be obtained 



1) by taking a written test, evaluating all the material taught at the uc,
 to be carried out in the last week of April (last week of classes at this uc).



2) by taking a final exam (normal period).





Students who have passed the UC by taking the test, and have not obtained the desired result, can take the exam in the normal season to improve their grade.

Therefore, it should be noted that there is no exam at the time of this course.

Students with a final grade greater than or equal to 17.5 values ​​
,obtained in the test or in the exam (normal period), may have to take a written or oral test to obtain a grade greater than or equal to 18 values.

Special assessment (TE, DA, ...)

The exams required under special statutes will consist of a written (or oral) exam which may be preceded by an eliminatory oral exam.

Observations

Artigo 13º do Regulamento Geral para Avaliação dos Discentes de Primeiros Ciclos, de Ciclos de Estudos Integrados de Mestrado e de Segundos Ciclos da U.Porto, aprovado em 19 de Maio de 2010 (cf. http://www.fc.up.pt/fcup/documentos/documentos.php?ap=3&ano=2011): "A fraude cometida na realização de uma prova, em qualquer das suas modalidades, implica a anulação da mesma e a comunicação ao órgão estatutariamente competente para eventual processo disciplinar."

 

Any student may be required to take an oral examination should there be any doubts concerning his/her performance on certain assessment pieces.