HEG Genève APPLIED STATISTICS · WEEK 13 ← Course
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🔧 Week 13 is in preparation. What follows is the plan for the 3-hour session — objectives, the Part 1 sections, the Part 2 exercise outline and the slide outline. Nothing here is counted yet.
Week 13 · Applied Statistics · HEG Genève

Weeks 1–6, by hand

Three weeks of practice before the exam. This one covers description, probability, the normal, sampling distributions and estimation — the material the exam's first three exercises draw on. The practice arena gives you endless fresh numbers; the exam cards give you every question type; the room gives you the worked answers and the traps.

🏫 In class: 3 h · lesson ~1 h, then exercises ~2 h 📖 Weeks 1–6 ▶ The Lecture button shows the slide outline

By the end of Week 13 you will be able to

  • Do a full descriptive analysis — displays, centre, spread, position — in twenty minutes without notes.
  • Compute binomial and normal probabilities and inverse normal values fluently.
  • Build any confidence interval of the course and choose z or t correctly.
  • Recognise from the wording which method a question wants.

Resources

✓Practice arena — endless randomised problems
✓Exam cards c1–c12
Homework for this week is written with the week itself, on the Week 1–2 pattern: a fresh dataset, hints and worked solutions.
Tools for this week
Practice arenaExam cards
← Course page
Section 13.1 · The plan

What this week is for

Planned · Plan

A drill session, in the room and on the site

  • Two-hour session: a timed set of six exam-style exercises, solved live after twenty minutes each. The dashboard's weakest quiz questions from Weeks 1–6 decide which ones.
Status → this section is an outline. When the week is written it becomes an interactive screen on the Week 1–2 pattern: an earned completion, a classify exercise or lab where one is listed, and its own share of the progress bar.
Section 13.2 · Describe

Exam cards c1–c2

Planned · Drill

Descriptive statistics · z-scores, rules

  • Practice arena rounds until the method is automatic; the cards for the exam's exact phrasing.
Status → this section is an outline. When the week is written it becomes an interactive screen on the Week 1–2 pattern: an earned completion, a classify exercise or lab where one is listed, and its own share of the progress bar.
Section 13.3 · Probability and the normal

Exam cards c3–c6

Planned · Drill

Two-way counts · discrete RVs · binomial · normal and inverse

  • The trap list: n vs n − 1, which tail, P(X = k) vs P(X ≤ k), standardise before you look up.
Status → this section is an outline. When the week is written it becomes an interactive screen on the Week 1–2 pattern: an earned completion, a classify exercise or lab where one is listed, and its own share of the progress bar.
Section 13.4 · Sampling and estimation

Exam cards c7–c12

Planned · Drill

CLT · proportions · z and t intervals · sample size

  • The decision drill: z or t? mean or proportion? — twelve wordings, twelve answers.
Status → this section is an outline. When the week is written it becomes an interactive screen on the Week 1–2 pattern: an earned completion, a classify exercise or lab where one is listed, and its own share of the progress bar.
Section 13.5 · Open questions

Bring what you could not do

Planned · Q&A

Q&A, worked live

  • A workbook field: the one question type you still cannot do — read before the session, answered in it.
Status → this section is an outline. When the week is written it becomes an interactive screen on the Week 1–2 pattern: an earned completion, a classify exercise or lab where one is listed, and its own share of the progress bar.
Course page →
Part 2 · Exercises

5 exercises, worked together

Planned · ~90 min

The second half of the session

When this week is written, each exercise below becomes a form on this page and a slide in the deck, generated from one array so the two can never disagree — and its solution opens when the instructor reveals it in class. Same engine as Weeks 1–2 (exercises.js).

  • Exercise 1 · Exercise 1 · describe  20 min
    a full descriptive analysis under exam conditions
  • Exercise 2 · Exercise 2 · probability and the normal  20 min
    binomial and normal, one paper question
  • Exercise 3 · Exercise 3 · estimation  20 min
    a confidence interval, with the z-or-t decision
  • Exercise 4 · The trap list  15 min
    n vs n−1, which tail, P(X = k) vs P(X ≤ k), standardise first
  • Exercise 5 · Your worst archetype  15 min
    the exam card the dashboard says you struggle with
Status → outline only. Nothing here is interactive or counted yet.
Course page →