| Code |
15795
|
| Year |
1
|
| Semester |
S2
|
| ECTS Credits |
6
|
| Workload |
TP(60H)
|
| Scientific area |
Mathematics
|
|
Entry requirements |
None formally. Recommended: basic maths, digital literacy, and assist Quantitative Methods I.
|
|
Learning outcomes |
By the end of the course unit, students will be able to: choose in SPSS the appropriate inferential procedure for means/proportions, state hypotheses and check assumptions from the output; build and interpret confidence intervals and relate them to sample size/precision; run and interpret hypothesis tests (one-/two-sample; independent/paired) and nonparametric tests (chi-square, K-S, Wilcoxon, Mann–Whitney, Kruskal–Wallis) when assumptions fail; fit and interpret linear regression (simple/multiple), including coefficients, R² and residual diagnostics; report results clearly (tables/graphs, CIs, p-values), attaching SPSS syntax when required. Compatibility: TP lab sessions with guided demonstrations and oriented SPSS practice, with occasional interactive moments; no manual calculations.
|
|
Syllabus |
—Sampling distributions (proportions/means), CLT; II—Confidence intervals; pivotal variable; sample size; III—Hypothesis testing; IV—Nonparametrics (?², K-S; Wilcoxon; Mann–Whitney; Kruskal–Wallis); V—Linear regression (simple/multiple): estimation; tests/CI; R²; residuals.
|
|
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
|
|
Teaching Methodologies and Assessment Criteria |
Continuous assessment (0–20): four Moodle mini-tests (MT1–MT4), 4 pts each, plus an individual Final Project (T1), 4 pts. Exam waiver if CAC = 9.5. Exam route: Final grade with exam = 0.8 × E + T1 (= 20). Exam admission requires CAC = 5. Delivery is in-person; SPSS-focused tasks (execution/interpretation); no manual calculations.
|
|
Language |
Portuguese. Tutorial support is available in English.
|