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Week 3 · Activity

Activity: Code It (Distributions)

A Canvas activity for this course — the full instructions, reproduced here so you can read them any time.

📋 What to do

  1. Complete Learning Check 4 from the textbook chapter Distributions and Descriptive Statistics (a Python version is available too).
  2. Answer the question in R or Python — use the method of moments (or fitdistr() for Weibull) plus a plot to work out which distribution best matches the observed data.
  3. Comment your code extensively, line by line, in your own words.
  4. Add 1–2 sentences summarizing your answer, in comments, clearly marked.
  5. Please do not submit AI-generated commenting for this exercise — the whole point is to build your own commenting habits.
  6. Paste your commented code and your summary into the Canvas text box. Graded on completion, not correctness.

📮 Submit

Submit on Canvas (1 pt) — graded on completion; your deadline is on the Canvas assignment.

Note: this page and its Canvas card describe the same activity; where they differ, follow this page, and expect small refinements before class. Turn your work in on Canvas, which carries the due date and your grade.