Statistics
Keywords |
Classification |
Keyword |
OFICIAL |
Mathematics |
Instance: 2008/2009 - 2S
Cycles of Study/Courses
Acronym |
No. of Students |
Study Plan |
Curricular Years |
Credits UCN |
Credits ECTS |
Contact hours |
Total Time |
MIEC |
325 |
Syllabus since 2006/2007 |
2 |
- |
6,5 |
60 |
174 |
Teaching language
Portuguese
Objectives
To induce an educational background for other following subjects in the curricula. To give solid knowledge for future developements at the specialization level as well as at the professsional level. To prepare the student for the use of probabilistic and statistical language and to be able to comunicate when dealing with subjects in which Probabilities and Statistics take part, ensuring that a correct interiorization of concepts is achieved. To educate the student to be able to translate his reasoning into mathematics when analysing real world problems and adequately formulate these problems. To educate the student in techniques that can be used in order to solve these problems.
Program
Introduction to the statistical method (Sampling, statistical description of data and statistical inference). Descriptive statistics: univariate distributions; bivariate distributions, dependency between statistical variables (shape, minimum square method, regression line, correlation coeficient). Probability spaces (generalization of concepts, axioms, and properties).
Unidimensional random variables: discrete and continuous; dsitribution functions; probability functions; probability density functions; brief reference to variable transformations; mathematical expectation; moments and order parameters.
Two-dimensional random variables: joint distribution, marginal distributions and conditional distributions; independence; mathematical expectation of vectors.
Typical distributions: discrete and continuous; properties of Gaussian low. Approximations of distributions: Central Limit Theorem and most known approximations. Estimation: estimators for the mean, the variance and the linear correlation coefficient; confidance intervals.
Hypothesis testing: philosophy of testing; parameter testing; goodness of fit testing.
Mandatory literature
Montgomery, Douglas C.;
Applied Statistics and Probability for Engineers. ISBN: 0-471-17027-5
Paula Milheiro Oliveira; Estatística - Colecção de exercícios, disponível no SiFeup, Feup
Paula Milheiro Oliveira; Estatística - Apontamentos da cadeira, disponíveis na Editorial, FEUP
Complementary Bibliography
Paulino, C.D. e Branco, J.A.; Exercícios de Probabilidade e Estatística, Escolar Ed, 2005
Sá, Joaquim Pontes Marques de;
Applied statistics using SPSS, STATISTICA and MATLAB. ISBN: 3-540-01156-0
Pestana, Dinis Duarte;
Introdução à probabilidade e à estatística. ISBN: 972-31-0954-9
Murteira, Bento 070;
Introdução à estatística. ISBN: 972-773-116-3
Oliveira, J. Tiago de;
Probabilidades e estatística. ISBN: 972-9241-20-1
Moore, David S.;
Introduction to the Practice of Statistics. ISBN: 0-7167-1989-4
Teaching methods and learning activities
It is essentially a formative subject, coordinating fundamental theoretical knowledge with some approaches which are necessary in the subjects placed ahead in the curricula. At this level it is important to develop intuitive concepts as well as computational ability. The concepts are exposed in a clear and objective way, making frequent use of examples of physical or geometrical nature. The use of statistical software is encouraged, as a working tool, namely through the execution of 2 working projects in the computer room (1 hour duration each). A total of 4 sessions are held in the computer rooms or have intensive use of calculators.
Software
splus
SPSS 15
Excel
Evaluation Type
Distributed evaluation with final exam
Eligibility for exams
Limitations are fixed according to the decisions of the Scientific Board of the course
Calculation formula of final grade
E: classification in the writting paper
P: total classification in the 2 working projects
final classification = 0.800 * E + 0.200* P
Examinations or Special Assignments
Non applicable
Special assessment (TE, DA, ...)
The working projects are compulsory also for students helding special status with respect to attending classes. For these students a second oportunity is held the same day of the writting paper of the TE exam schedual.
SPECIAL RULES FOR MOBILITY STUDENTS:
Proficiency in Portuguese;
Previous attendance of introductory secondary school courses in the scientific field addressed in this module;
Evaluation by exam and coursework as for the other students.
Classification improvement
A special test is held the same day of the final exam, to improve the continuous evaluation component, if required by the student. Otherwise only the writting paper component is subject to improvement classification
Observations
Amount of work hours outside the classroon / week: 4 hours