| 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.
- Maroco, João (2007). Análise Estatística com utilização de SPSS, Edições Silabo
- 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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Teaching Methodologies and Assessment Criteria |
The assessment of knowledge and skills acquired by students during teaching and learning
is done by carrying out two evaluation moments (M1 and M2), classified
from 0 to 8 values, and a work (T1), classified from 0 to 4.
The final teaching and learning classification, TLC, from 0 to 20 points, is calculated as follows:
TLC=M1+M2+T1.
Exemption from the final exam is granted when the final teaching and learning classification is equal
or greater than 9.5 values.
The final classification within the exam (E, classified from 0 to 20 points) is calculated as follows:
maximum(E*0.8+T1;E).
All assessments carried out during the semester will be face-to-face.
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Language |
Portuguese. Tutorial support is available in English.
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