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How do we calculate probabilities for combined events using Venn diagrams and the addition and multiplication rules?

Probability of events, Venn diagrams and set notation, the addition rule, mutually exclusive and independent events, and tree diagrams.

A focused answer to WJEC AS Unit 2 probability, covering the probability of events, Venn diagrams and set notation, the addition rule, mutually exclusive and independent events, and using tree diagrams.

Generated by Claude Opus 4.812 min answer

Reviewed by: AI editorial process; not yet individually human-reviewed

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  1. What this dot point is asking
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  3. Examples in context
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What this dot point is asking

WJEC wants you to calculate probabilities for single and combined events, to use Venn diagrams and set notation, to apply the addition rule, to recognise mutually exclusive and independent events, and to use tree diagrams for sequences of events with and without replacement. This sets up the binomial distribution and hypothesis testing that follow, and conditional probability in A2.

The answer

Probability of events

The probability of an event AA is P(A)=favourable outcomestotal outcomesP(A) = \dfrac{\text{favourable outcomes}}{\text{total outcomes}} for equally likely outcomes, with 0P(A)10 \le P(A) \le 1. The complement rule gives P(not A)=1P(A)P(\text{not } A) = 1 - P(A), which is often the quickest route to "at least one" probabilities.

Venn diagrams and set notation

A Venn diagram shows events as overlapping regions. The notation: ABA \cap B is the intersection (both), ABA \cup B is the union (either or both), and AA' is the complement (not AA).

The addition rule and mutual exclusivity

You subtract the intersection because outcomes in the overlap would otherwise be counted twice.

Independence and tree diagrams

Examples in context

Example 1. At least one success. A test is passed with probability 0.80.8 each attempt, independently. The probability of passing in at least one of two attempts is 1P(fail both)=10.22=10.04=0.961 - P(\text{fail both}) = 1 - 0.2^2 = 1 - 0.04 = 0.96. The complement turns a messy "at least one" into a single subtraction.

Example 2. Reading a Venn diagram. Of 50 students, 30 study French, 25 study German and 12 study both. Then P(French or German)=30+251250=4350P(\text{French or German}) = \dfrac{30 + 25 - 12}{50} = \dfrac{43}{50}, and 750\dfrac{7}{50} study neither. The overlap of 1212 is subtracted to avoid counting the bilingual students twice.

Try this

Q1. P(A)=0.6P(A) = 0.6 and P(A)P(A') is its complement. Find P(A)P(A'). [1 mark]

  • Cue. P(A)=10.6=0.4P(A') = 1 - 0.6 = 0.4.

Q2. Two fair coins are tossed. Find the probability of exactly one head. [2 marks]

  • Cue. Outcomes HT and TH each have probability 14\tfrac{1}{4}, total 12\tfrac{1}{2}.

Q3. Events AA and BB are mutually exclusive with P(A)=0.3P(A) = 0.3, P(B)=0.45P(B) = 0.45. Find P(AB)P(A \cup B). [2 marks]

  • Cue. No overlap, so P(AB)=0.3+0.45=0.75P(A \cup B) = 0.3 + 0.45 = 0.75.

Exam-style practice questions

Practice questions written in the style of WJEC exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.

WJEC AS style4 marksFor events AA and BB, P(A)=0.5P(A) = 0.5, P(B)=0.4P(B) = 0.4 and P(AB)=0.2P(A \cap B) = 0.2. Find P(AB)P(A \cup B) and state whether AA and BB are independent.
Show worked answer →

Use the addition rule for the union, then test independence with the multiplication rule.

P(AB)=P(A)+P(B)P(AB)=0.5+0.40.2=0.7P(A \cup B) = P(A) + P(B) - P(A \cap B) = 0.5 + 0.4 - 0.2 = 0.7.

Independence test: P(A)×P(B)=0.5×0.4=0.2P(A) \times P(B) = 0.5 \times 0.4 = 0.2.

Since P(AB)=0.2=P(A)×P(B)P(A \cap B) = 0.2 = P(A) \times P(B), the events are independent.

Markers reward the correct addition rule (subtracting the intersection once), and the explicit independence check comparing P(AB)P(A \cap B) with P(A)P(B)P(A)P(B). Concluding independence without the comparison loses the justification mark.

WJEC AS style5 marksA bag has 4 red and 6 blue counters. Two are drawn without replacement. Find the probability that both are red.
Show worked answer →

Without replacement, the second probability depends on the first, so multiply along the branch.

First red: P=410P = \dfrac{4}{10}.

Second red given the first was red: P=39P = \dfrac{3}{9} (one red gone, nine left).

P(both red)=410×39=1290=215P(\text{both red}) = \dfrac{4}{10} \times \dfrac{3}{9} = \dfrac{12}{90} = \dfrac{2}{15}.

Markers reward reducing the numerator and denominator for the second draw (3 reds out of 9), multiplying along the branch, and simplifying. Treating the draws as independent (using 410×410\dfrac{4}{10} \times \dfrac{4}{10}) is the standard error.

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