Module 2:
Probability models, events and modelling assumptions

Module 2

What this module is for

Both. Teach students to specify what is random before manipulating formulas. Interview patterns include misleading sample spaces, “at least one” events and ambiguous descriptions of randomness.

Lesson 2.1 · Core · Free

Experiments, outcomes and sample spaces

Depth: Interview mastery

QT/QR relevance: Both; constructing an appropriate uncertainty model

Lesson 2.2 · Core

Event algebra and probability axioms

Depth: Working proficiency; countable-event limits at intuition level

QT/QR relevance: Both; precise event construction

Lesson 2.3 · Core

Complements, inclusion–exclusion and bounds

Depth: Interview mastery

QT/QR relevance: Both; collision and joint-risk calculations

Lesson 2.4 · Core

Symmetry and the meaning of “random”

Depth: Interview mastery

QT/QR relevance: Both; avoiding incorrect assumptions

Assessment

Module 2 assessment

Open assessment · No submitted assessment yet