2023

Biostatistics with Computer Software

Name: Biostatistics with Computer Software
Code: MAT00911L
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area: Mathematics

Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Regime de Frequência: Presencial

Sustainable Development Goals

Learning Goals

In general, it is intended that when they finish this curricular unit, students have a basic knowledge of the different topics of Statistics presented, are able to read / understand the literature related to the use of Statistics in their field and to correctly apply the appropriate techniques and interpret the results.


In particular, students should be able to:



  • proceed with the initial analysis of sample data using the basic techniques of descriptive statistics;

  • translate to the language of the theory of probability, uncertainty situations initially expressed in natural language, using the basic concepts of probability, which include the main probability distributions;

  • formulate and solve basic problems of statistical inference having a sufficient knowledge of the corresponding techniques, in order to help build simple models of real situations and to recognize situations where statistical techniques should be used, being able to distinguish and clearly characterize the sample questions, population issues and problems and techniques required to handle the various problems;

  • use of existing IT resources, statistical software and / or spreadsheet, as a useful tool for carrying out a statistical analysis, not neglecting the primary objective of any investigation, correct interpretation of results and presentation of the analysis findings.


Note: Whenever possible, we will be using existing IT tools, including SPSS software and a spreadsheet, to address the described issues.

Contents


  1. Introdutory concepts

  2. Descriptive statistics

  3. Basic notions of probability --- revision

  4. Discrete and continuous random  variables

  5. Introduction to sampling and sampling distributions

  6. Point and interval estimation

  7. Parametric hypothesis testing

  8. Non-parametric tests

  9. One-way analysis of variance

  10. Linear regression analysis


The IT component consists in the use of SPSS software and of a spreadsheet in the resolution of statistical problems.


NOTE: We strongly advise students to install on their personal computers the software SPSS (please conctat the Serviços de Informática for a free instalation) and Excel (or equivalent) and to bring their PCs to the classes.

Teaching Methods

Lectures and lab classes. The lab classes are held in a room equiped with computers (although we recommend students to bring their own PCs) and consist in solving exercises , recurring someties to a calculator and recurring frequently to the use of the SPSS software and to a spreadsheet.

Assessment

1. We will use a Continuous Evaluation systems with 3 written tests. In order to be evaluated through this system, the student is required to attends at least 70% of the lectures and 70% of the lab classes and to do the 3 tests with an average grade equal or higher to 9,5 "valores" (in a 0 to 20 scale) with a minimum grade of 7 "valores" in each test. Student having the status of working students are not obliged to have a minimum attendance.


NOTES: Dropping off a test determinies a zero grading in that test. Being absent or having a grade lower than 7 in the first or the second test, determines the impossibility of doing the remaining tests


2. Students can also make an option for a Non-continuous Evaluation system, which consists of a Exam and the possibility of a make-up exam. A student that fails any of the requirements of the Continuous Evaluation system, can follow the Non-continuous Evaluation system.


 


Materals that students should bring to tests and exams: Only the formulary and statistical tables available in the moodle page of the curricular unir (printed in paper), a calculator and paper to answer to the test or exam questions.


Evaluation calendar:


1st Test: October 27, 2016, 18h-20h. Rooms: anfiteatros 2, 3, 4 e 5 CLAV


2nd test: November 26, 2016, 17h30-19h30. Rooms: anfiteatros 2, 3, 4 e 5 CLAV


3rd Test: January 5, 2017, 18h-20h. Rooms: anfiteatros 2, 3, 4 e 5 CLAV


Exam - Normal Epoch: January 17, 2017, 10h-13h. Rooms: anfiteatros 2, 3 e 5 e sala 066 CLAV


Exam- Make-up Epoch: January 26, 17h30-20h30. Local: anfiteatros 2, 3 e 5 e sala 066 CLAV


Exam - Make-up Special Epoch: July 6, 2017, 10h-13h. Rooms: to be indicated


Exam - Make-up Extraordinnary Epoch: July 14, 2017, 10h-13h. Rooms: to be indicated

Recommended Reading

Gomes, D. (2016). Slides of lectures.


Afonso, A. and Serpa, C. (2011). Probabilidades e à Estatística. Aplicações e Soluções em SPSS. Escolar Editora.


 


Other Bibiography:


Chung, K. L. (2001). A Course in Probability Theory. Academic Press.


Feller, W. (1968). An Introduction to Probability Theory and its Applications, Vol. 1. John Wiley & Sons, Inc..


Fowler, J. and Cohen, L. (1990). Practical Statistics for Field Biology. John Wiley & Sons.


Hoaglin, D. C., Mosteller, F. and Tukey, J. (1992). Análise Exploratória de Dados. Técnicas Robustas - um Guia.  Edições Salamandra.


Maroco, J. (2007). Análise Estatística com Utilização do SPSS. 3rd Edition. Edições Sílabo.


Paulino, D. and Branco, J. (2005). Exercícios de Probabilidade e Estatística. Escolar Editora.


Pestana, D. and Velosa, S. (2008). Introdução à Probabilidade e à Estatística, Vol. 1. 4th Ediition. Fundação Calouste Gulbenkian.


Petrie, A. and Paul Watson, P. (2013). Statistics for Veterinary and Animal Science. 3rd Edition. John Wiley & Sons.


Zar, J. H. (1999). Biostatistical Analysis. 4th Edition. Prentice Hall.

Teaching Staff

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