PALS / Independent companion · Proposed weeks 05–06

PALS · Supplemental R practice for Weeks 5–6

Two original, fictional-data exercises extending the already inspected first four PALS practicals. The Week 5 and 6 Moodle contents have not yet been verified.

New instructor resource: Weeks 1–6 Teacher’s Kit: annotated R code, results and teaching plans →
Source status: the Week 5 Moodle section URL was provided, but its login-protected documents could not be read. The original Week 6 documents have not been inspected either.
WEEK 5

05 · Sampling and uncertainty

Samples and populations, standard deviation versus standard error, and repeatable resampling simulations of sample means.

Learning checks

  • Distinguish SD from SE and explain units
  • Write a seeded resampling simulation
  • Explain why a toy sample is not representative
Student R starterWorked R example
WEEK 6

06 · Hypothesis testing and confidence intervals

Null/alternative hypotheses, one-sample t-test, p-values, 95% confidence intervals and interpretation traps.

Learning checks

  • State H0 and H1 clearly
  • Interpret a one-sample t-test, CI and p-value
  • Avoid interpreting the p-value as P(H0 is true)
Student R starterWorked R example

Working in RStudio

Complete the TODO tasks in the student starter first. Run your code and compare it with the public worked example. All numbers are fictional; no extra packages required.

Not an official UCL teaching sequence

This is neither a reproduction nor a summary of the original Week 5 or Week 6 Moodle worksheets. Exact alignment can happen after the authenticated materials are inspected.