| Code |
15795
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| Year |
1
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| Semester |
S2
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| ECTS Credits |
6
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| Workload |
TP(60H)
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| Scientific area |
Mathematics
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Entry requirements |
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Learning outcomes |
Throughout this curricular unit, the student will deepen his knowledge of the software SPSS. So having a data sample, the student will be able to:
1) apply a vast range of inferential statistics methods;
2) interpret the results obtained in SPSS;
3) analyze studies and/ or articles of textile engineering area that satisfy the learning outcomes
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Syllabus |
I - Sample distributions for proportions and means: Sample distribution of a statistic; Central Limit Theorem
II - Confidence intervals for proportions and means: Confidence interval estimation; Method of the sample statistic; Sample size
II - Hypothesis tests for proportions and means: One sample, independent samples and paired samples
III- Non-Parametric Tests: Fit Tests - Chi-square and Kolmogorov-Smirnov test; Wilcoxon test; Mann-Whitney test; Kruskal-Wallis test.
IV - Simple and multiple linear regression: Estimation of model parameters; Tests and confidence intervals for regression parameters; Evaluation of quality and significance of the regression; Analysis of residuals.
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Main Bibliography |
Hall, A., Neves, C. e Pereira, A. (2011). Grande Maratona de Estatística no SPSS. Escolar Editora. Cota: EG-4.2-00500
Hayavadana, J. (2012). Statistics for textile and apparel management,Woodhead Publishing India
Nagla, J.R. (2014). Statistics for textile engineers, Woodhead Publishing India
Tenreiro, C. (2009). Estatística. Notas de apoio às aulas, Coimbra
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Language |
Portuguese. Tutorial support is available in English.
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