Part of this Programme
Level of Qualification|Semesters|ECTS
Bachelor | Semestral | 6
Year | Type of course unit | Language
2 |Mandatory |Português
Total of Working Hours | Duration of Contact (hours)
168 | 60
Recommended complementary curricular units
Prerequisites and co-requisites
1. Introduction. Descriptive statistics vs. statistical inference. 2. Discrete, binomial and binomial negative uniform distribution. 3.Exercises. 4. Hypergeometric distribution. Approximation of the hypergeometric distribution to the binomial. Poisson distribution. Approximation of binomial to Poisson. 5.Exercises. 6.Picture. 7. Uniform and normal distributions. 8.Exercises. 9.Approximation to normal distribution. 10. Exercises. 11. Exponential distribution. 12.Exercises. 13.Testing. 14. Confidence intervals for the parameters of the normal distribution. 15. Trust ranges for proportion. 16. Exercises. 17.Exercises. 18. Tests of hypotheses for the mean value of normal populations. 19. Tests of hypotheses for the proportion of binomial populations. 20.Exercises. 21.Exercises. 22.Picture. 23. Chi-square adjustment tests. 24.Exercises. 25.Tests of independence. 26.Exercises. 27.Exercises. 28. Clarification of doubts. 29.Test.
It is intended to continue the learning of quantitative analysis tools, based on statistical methodologies. Students should recognize the usefulness and wide application of these methodologies, as well as learn to apply them in any context and in particular in their areas of study. It is intended that students recognize the interest and develop skills of applying statistical inference to practical problems. Students are expected to develop their thinking skills to assist them in solving problems that they will face, regardless of the subjects taught.
Knowledge, abilities and skills to be acquired
Skills: - Understand different theoretical statistical models, identify them and apply them in practical cases. - Construct confidence intervals for Gaussian distribution parameters. - Perform parametric hypothesis tests related to Gaussian distribution. - Develop tests of non-parametric hypotheses (tests of adjustment of variables and tests of independence between variables)
Teaching methodologies and assessment
The theoretical concepts are presented and complemented with practical examples. Orientations are presented for student study and learning. Exercises of application of the theoretical concepts are recommended to concrete problems of the areas of study of the students and clarify doubts that may arise from the resolution of the same ones. The evaluation is carried out under continuous evaluation (Final Frequency - EFF) or through final examination. Continuous assessment includes two tests with equal weighting, totaling 75% of the final grade, two counts with equal weighting, totaling 20% of the final grade, with the remaining result of the commitment and participation shown during the semester. A student in the Normal regime is only able to be evaluated in EFF if he / she is present in at least 75% of the total class. Students in the Worker-Student regime have the same evaluation tools except for the compulsory presence in class.
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Newbold, P., Carlson, W.L., Thorne, B.M. (2012). Statistics for Business and Economics, Prentice-Hall, 8ª Edição.
Proença, I.M. (2010). Estatística, Euedito.
Reis, E., Melo, P., Andrade, R., Calapez, T. (2007). Estatística Aplicada - Volume 1. Edições Sílabo, 5ª Edição.
Reis, E., Melo, P., Andrade, R., Calapez, T. (2001). Estatística Aplicada - Volume 2. Edições Sílabo, 4ª Edição.
Reis, E., Melo, P., Andrade, R., Calapez, T. (2012). Exercícios de Estatística Aplicada - Volume 1, Edições Sílabo, 2ª
Reis, E., Melo, P., Andrade, R., Calapez, T. (2004). Exercícios de Estatística Aplicada - Volume 2, Edições Sílabo.
Robalo, A. (2004). Estatística Exercícios - Volume II, Edições Sílabo, 5ª Edição.
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