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ISCTE-IUL  >  Education  >  LG

Statistics II (2 º Sem 2016/2017)

Code: L0120
Acronym: L0120
Level: 1st Cycle
Basic: No
Teaching Language(s): Portuguese, English
Friendly languages:
Be English-friendly or any other language-friendly means that UC is taught in a language but can either of the following conditions:
1. There are support materials in English / other language;
2. There are exercises, tests and exams in English / other language;
3. There is a possibility to present written or oral work in English / other language.
1 6.0 0.0 h/sem 36.0 h/sem 0.0 h/sem 0.0 h/sem 0.0 h/sem 0.0 h/sem 1.0 h/sem 37.0 h/sem 113.0 h/sem 0.0 h/sem 150.0 h/sem
Since year 2013/2014
Pre-requisites None
Objectives The main purpose of this course is to enable students to know the most important inferential statistical methods and being to identify and apply the adequate method to each specific real situation in business and institutional environments, with the help of statistical software.
Program 1. Sampling: Bernoulli and normal populations.
2. Parameters estimation.
2.1 Point estimation. Maximum likelihood estimators.
2.2 Interval estimation. Pivotal function method.
3. Hypotheses testing.  
3.1 Formulation of hypotheses.
3.2 Errors and their probabilities.
3.3 Power function.
4. Parametric tests.  
4.1 Tests for one or two populations: one mean, equality of two means with independent and paired samples, one variance and two variances.  Tests on the equality of two means for paired samples.
4.2 Oneway Analysis of Variance (ANOVA) and Levene test for the equality of k variances.
Multiple comparison tests.
5. Non parametric tests: Chi-square, Kolmogorov-Smirnov  and Shapiro-Wilk goodness of fit tests; Chi-square test of independence of two variables.
6. Using SPSS for analysis and interpretation of results.
Evaluation Method Continuous assessment:
- two written tests, with a 40% weight each;
- a group coursework (20%) with oral discussion if necessary.
- students' attendance of at least 80% of classes, no grade lower than 8 in any of the tests, average grade equal or bigger than 10. Grades higher than 17 will be subject to an oral exam.
Final exam: grades between 8 and 9 can undergo an oral exam. Those who obtain a grade higher than 17 will be subject to an oral examination to defend their grades.
Teaching Method Each student should acquire analytical information gathering, written and oral communication skills.
To acquire these skills the following learning methodologies (LM) will be used:
1.Expositional, to the presentation of the theoretical reference frames
2.Participative, with resolution of exercises
3.Active, with the realization of individual and group courseworks
4.Experimental with computer real applications.
5.Self-study, related with autonomous work by the student.
Observations
Basic Bibliographic - Reis, E., P. Melo, R. Andrade e T. Calapez  (2007) Estatística Aplicada (Vol. 2), 5ª ed., Lisboa: Sílabo.
- Reis, E., P. Melo, R. Andrade e T. Calapez (2003) Exercícios de Estatística Aplicada - Vol. 2, Lisboa: Sílabo.
- Reis, E. (2012-13) Folhas de apoio às aulas de SPSS .
- Harnett, D.L. & J.L. Murphy (1980) Introductory Statistical Analysis, 2nd ed., London: Addison-Wesley Publishing Company.
- Ingram, J.A & J.G. Monks (1992) Statistics for Business and Economics, 2nd ed., The Dryden Press.
Complementar Bibliographic - Martinez, L. e A. Ferreira (2007) Análise de dados com SPSS. Primeiros passos, Escolar Editora.
- Guimarães, R. (2004) Estatística, Lisboa: McGraw-Hill
- Robalo, A (1998). Estatística - Exercícios, Vol. 2, Lisboa: Sílabo.
- Laureano, R. e Botelho, M.C. (2010) SPSS - O Meu Manual de Consulta Rápida, Lisboa: Edições Silabo.
- Laureano, R. (2011) Testes de Hipóteses com o SPSS - O Meu Manual de Consulta Rápida, Lisboa: Edições Silabo.
- Maroco, J. e R. Bispo (2006). Estatística Aplicada às Ciências Sociais e Humanas, 2.ª edição, Lisboa: Climepsi.
- Maroco, J. (2007). Análise Estatística - Com utilização do SPSS 3ª ed., Lisboa: Sílabo.
- Black, K. (1992) Business Statistics, West Publishing Company.