# ferdo Lab · Weeks 5–6 independent companion / 5–6. hafta bağımsız ek

**SOURCE STATUS / KAYNAK DURUMU — 12 November 2026:** Week 5 Moodle section supplied: https://moodle.ucl.ac.uk/course/section.php?id=1502829 . Its authenticated files and exact learning outcomes have NOT been inspected. Week 6 original files are also not inspected. **These topics are provisional pedagogical exercises, not claims about UCL's official week numbering.**

**TR:** Bu ek, 1–4. haftanın doğrulanmış materyal eşleştirmesini bozmadan 5–6. haftalara yönelik bağımsız R ve istatistik uygulamaları sunar. İçeriğin gerçek Moodle kaynaklarıyla eşleştirilmesi daha sonra yapılacaktır. Tüm veriler kurgusaldır. Öğretmen çözümü örneği açıktır.

**EN:** A supplementary teaching bridge following the student's previously inspected Weeks 1–4 R practicals. This does **not** reproduce either Moodle section. All examples use fabricated data; public worked examples are original.

## Files
- student/week5_starter.R — proposed Week 5: sampling and standard error
- teacher/week5_solution.R — original worked example
- student/week6_starter.R — proposed Week 6: one-sample t-test and confidence interval
- teacher/week6_solution.R — original worked example

Run in R/RStudio with no additional packages. Try student tasks before instructor examples. The browser page is readable offline; R execution requires R installed.

## Learning checks
- Week 5: distinguish individual variability (SD) from estimated sample-mean uncertainty (SE); use seeded resampling; articulate sample representativeness limits.
- Week 6: state H0/H1, read a one-sample t-test and CI, distinguish a p-value from a probability that H0 is true, and state inference assumptions.

**Prior weeks / Önceki haftalar:** https://lab.ferdo.net/r/pals-weeks-1-4/
**Moodle section provided:** https://moodle.ucl.ac.uk/course/section.php?id=1502829 (login may be required).

The exact UCL module code and Week 5–6 worksheet content should be verified from the student-accessible files before this material is presented as aligned with a university practical.
