IEB · Grade 12 · Paper 1

Probability rules and Venn diagrams

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Probability · Updated 13 October 2026

Probability carries about 15 marks in Paper 1. The rules are short, but questions combine them with Venn diagrams and unknowns, so you need to know exactly which rule applies to which kind of event.

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Probability rules and Venn diagrams · Introduction

The addition rule

For any two events and :

The overlap is subtracted because it is counted twice when you add and .

Example. , and .

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Probability rules and Venn diagrams · The addition rule

Mutually exclusive and complementary events

Mutually exclusive events cannot happen at the same time: , so

Complementary events are mutually exclusive and together cover every outcome:

Example. A learner is chosen at random. "In Grade 11" and "in Grade 12" are mutually exclusive. "Passed" and "did not pass" are complementary.

"At least one" questions are usually quickest with the complement: .

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Probability rules and Venn diagrams · Mutually exclusive and complementary events

Independent events

Events are independent if one happening does not change the probability of the other:

Use this as a test: calculate both sides. If they are equal, the events are independent.

Example. and , with and independent.

Do not confuse independent with mutually exclusive. Mutually exclusive events with non-zero probabilities are never independent.

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Probability rules and Venn diagrams · Independent events

Venn diagrams

A Venn diagram shows overlapping events. Fill it in from the inside out:

  1. Start with the intersection of all the events.
  2. Fill in the regions for exactly two events.
  3. Fill in each event's "only" region by subtracting.
  4. The region outside all circles makes the total 1 (or the total number).

Example. Of 120 learners, 70 play sport, 50 do music and 25 do neither. Let do both:

So 45 play sport only, and .

With three events, label every region and use given relationships (such as independence or mutually exclusive events) to form equations.

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Probability rules and Venn diagrams · Venn diagrams

Key terms

Sample space

The set of all possible outcomes, written .

Mutually exclusive

Events that cannot occur together.

Complementary events

Two mutually exclusive events whose probabilities add to 1.

Independent events

Events where .

Intersection

The outcomes in both events, or ' and '.

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Probability rules and Venn diagrams · Key terms

Common mistakes

  • Adding probabilities of events that overlap without subtracting the intersection.

  • Confusing mutually exclusive with independent.

  • Filling a Venn diagram from the outside in, which double-counts the overlap.

  • Giving a probability greater than 1 or a negative region in a Venn diagram without noticing.

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Probability rules and Venn diagrams · Common mistakes

Practice questions

Reveal steps one at a time, then tick the marks you earned.

1

Question 1

3 marks total

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Probability rules and Venn diagrams · Q1 · Question 1

knowledge

, and . Calculate .

Worked solution

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2

Question 2

5 marks total

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Probability rules and Venn diagrams · Q2 · Question 2

routine

and are independent events with and . Calculate:

(a) (1)

(b) (2)

(c) (2)

Worked solution

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3

Question 3

6 marks total

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Probability rules and Venn diagrams · Q3 · Question 3

complex

In a group of 120 learners, 70 play sport (), 50 take music () and 25 do neither.

(a) How many learners do both sport and music? (2)

(b) Calculate the probability that a learner chosen at random plays sport only. (2)

(c) Are the events and independent? Show calculations. (2)

Worked solution

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4

Question 4

9 marks total

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Probability rules and Venn diagrams · Q4 · Question 4

problem-solving

, and are events in a sample space with , and .

  • and are mutually exclusive.
  • and are independent.
  • .

(a) Calculate . (2)

(b) Draw a Venn diagram showing the probability in every region. (4)

(c) Calculate the probability that exactly one of the events occurs. (2)

(d) Calculate the probability that none of the events occurs. (1)

Worked solution

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FAQs

Is conditional probability in the IEB Grade 12 syllabus?

No. Conditional probability notation is not examined, though tree diagrams with dependent events are.

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Probability rules and Venn diagrams · FAQ: Is conditional probability in the IEB Grade 12 syllabus?

What is the difference between independent and mutually exclusive?

Mutually exclusive events cannot both happen. Independent events can both happen, and one does not affect the probability of the other.

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Probability rules and Venn diagrams · FAQ: What is the difference between independent and mutually exclusive?

How do I find an unknown in a Venn diagram?

Label the unknown region, express every other region in terms of it, and set the total equal to 1 or to the total number.

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Probability rules and Venn diagrams · FAQ: How do I find an unknown in a Venn diagram?

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