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WEEK 4 · INDEPENDENT PRACTICE

Probability and conditional reasoning

Concepts, calculations, scientific claims and a formative self-check.

4 × 5 = 20 marks30–45 minutesNo R required

Scenario: Compare a fair-coin problem with conditional medical-test probabilities. State the modelling assumptions explicitly.

Use the fictional dataset if the question refers to it. Always show your reasoning; an exact number without context is not enough. The four written tasks are teacher-assessed. The self-check below is formative and does not affect the 20-mark assignment.

Written problem set

TASK 1 · 5 MARKS

Define and frame

Compute the probability of two heads in two independent fair-coin flips. Does observing two heads change the probability of heads on the third flip?

TASK 2 · 5 MARKS

Calculate or apply

Suppose 20 of 100 participants are in group A, and eight of those show event B. Compute P(B|A). Why does this not give P(A|B)?

TASK 3 · 5 MARKS

Evaluate the design

A screening test has 1% prevalence, 90% sensitivity and 95% specificity. Find expected true positives and false positives among 10,000 people.

TASK 4 · 5 MARKS

Interpret and communicate

Explain why a coin outcome is not “due” after a streak, using independence.

Standard scoring guide

Each written task is worth 5 points: correct key idea (2), justified application or computation (2), and a clear statement with limits (1). This original rubric is not official UCL assessment.

Formative self-check · 4 questions

Choose one answer for each item, then check the feedback. Answers and explanations are available on this public study page; the separate written-task instructor key is private.

1. Probability of two heads in two independent fair flips?
2. Does P(B|A)=0.4 alone determine P(A|B)?
3. At low prevalence, a positive result is particularly sensitive to what?
4. After three heads, what is the next-head probability for a fair independent coin?