The addition rule, mutually exclusive and complementary events, reading and filling in Venn diagrams, and testing whether two events are independent.
1The rules you must know
Mutually exclusive: P(A and B) = 0
Complementary: P(A) + P(not A) = 1
Independent: P(A and B) = P(A) × P(B)
You subtract P(A and B) in the addition rule because the overlap gets counted twice — once in P(A) and once in P(B).
2Reading a Venn diagram
- 1Total = 15 + 8 + 12 + 5 = 40.Add every region — the ones outside the circles too.
- 2n(A) = 15 + 8 = 23, so P(A) = 23/40 = 0,575 ≈ 0,58.A includes the overlap. 23 ÷ 40 is 0,575 — to two decimals that rounds UP to 0,58.
- 3P(A and B) = 8/40 = 0,20.Only the overlap.
- 4P(A or B) = 35/40 = 0,875 ≈ 0,88.15 + 8 + 12 = 35, everything inside the circles.
The number written inside the overlap is only the 'both' group. n(A) is the overlap plus the A-only region — here 23, not 15.
3Checking the addition rule
- 1P(A) = 23/40, P(B) = 20/40, P(A and B) = 8/40.n(B) = 8 + 12 = 20.
- 2P(A or B) = 23/40 + 20/40 − 8/40 = 35/40.Subtract the overlap. Stay in fortieths: rounding each probability first gives 0,58 + 0,50 − 0,20 = 0,88 only by luck, and 0,57 + 0,50 − 0,20 = 0,87 loses the mark.
- 3= 0,875 ≈ 0,88 ✓Matches the count from the diagram. Round ONCE, at the end.
4Mutually exclusive vs complementary
- Mutually exclusive — they cannot both happen. The circles do not overlap. P(A and B) = 0.
- Complementary — mutually exclusive and they cover everything. P(A) + P(B) = 1.
Every pair of complementary events is mutually exclusive, but not the other way round: rolling a 1 and rolling a 2 are mutually exclusive, yet they do not add to 1.
5Testing independence
- 1P(A) × P(B) = 0,4 × 0,5 = 0,2.Work out the product first.
- 2P(A and B) = 0,2.Compare with the given value.
- 3They are equal, so yes, A and B are independent.State the conclusion in words — that is where the mark is.
'Independent' and 'mutually exclusive' are not the same thing. In fact if two events with non-zero probability are mutually exclusive, they cannot be independent.
6Relative frequency and the theoretical probability
Grade 10 introduced the comparison; Grade 11 puts it to work as evidence. Theoretical probability is calculated from the situation; relative frequency is counted from an experiment.
The two tend to settle close together as the number of trials grows — which is what makes relative frequency useful as a test. A die rolled 600 times that gives a six 180 times has a relative frequency of 0,3 against a theoretical 0,167. Over that many trials, that gap is evidence the die is biased.
7Venn diagrams with three events
The new work in Grade 11 is a third event. Three overlapping circles create eight regions, and the only reliable method is to fill them from the middle outwards.
- 1Start in the centre: all three = 5.Always fill the innermost region first — every other region depends on it.
- 2Maths and Science only = 12 − 5 = 7The 12 includes the 5 in the middle.
- 3Maths and Geography only = 9 − 5 = 4; Science and Geography only = 8 − 5 = 3Same subtraction for each pair.
- 4Maths only = 30 − 7 − 4 − 5 = 14Take the three overlapping regions off the total for Maths.
- 5Science only = 25 − 7 − 3 − 5 = 10; Geography only = 22 − 4 − 3 − 5 = 10
- 6Total in at least one = 14 + 10 + 10 + 7 + 4 + 3 + 5 = 53Add all seven regions.
- 7None = 60 − 53 = 7The outside region.
Writing 12 into the Maths-and-Science overlap. That 12 is the total for Maths and Science, and 5 of them also take Geography — so only 7 belong in the two-circle region. Filling outside-in is what causes this error; always start at the centre.
Check your diagram by adding every region, including the outside. If it does not equal the total in the question, something has been double-counted.
Practice exercises
Work each one out, then click to reveal the answer.
- 1In the Venn diagram below, 40 learners were surveyed. Determine n(A).
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15 + 8 = 23 - 2Using the Venn diagram below, calculate P(A and B).
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8/40 = 0,20 - 3Using the Venn diagram below, calculate P(A or B).
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(15 + 8 + 12)/40 = 35/40 = 0,88 - 4Using the Venn diagram below, calculate the probability that a learner takes neither A nor B.
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5/40 = 0,13 - 5P(A) = 0,4, P(B) = 0,5 and P(A and B) = 0,2. Are A and B independent? Show your working.
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P(A) × P(B) = 0,4 × 0,5 = 0,2 = P(A and B), so yes, they are independent. - 6P(A) = 0,3, P(B) = 0,45 and A and B are mutually exclusive. Calculate P(A or B).
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0,3 + 0,45 − 0 = 0,75 - 7If P(A) = 0,62, calculate P(not A).
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1 − 0,62 = 0,38 - 8Explain the difference between mutually exclusive and complementary events.
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Mutually exclusive events cannot happen together, so P(A and B) = 0. Complementary events are mutually exclusive AND cover the whole sample space, so P(A) + P(B) = 1. - 9A coin is tossed 400 times and lands heads 214 times. Calculate the relative frequency of heads and comment on whether the coin appears fair.
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214 ÷ 400 = 0,535 ✓; close to the theoretical 0,5 over a large number of trials, so the coin appears fair ✓ - 10In a class of 40: 22 play soccer, 18 play netball, 15 play tennis; 9 play soccer and netball, 7 play soccer and tennis, 6 play netball and tennis, and 4 play all three. How many play none of the three?
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Centre 4 ✓; pairs only: 5, 3, 2 ✓; singles: soccer 22 − 5 − 3 − 4 = 10, netball 18 − 5 − 2 − 4 = 7, tennis 15 − 3 − 2 − 4 = 6 ✓; total in at least one = 10 + 7 + 6 + 5 + 3 + 2 + 4 = 37, so none = 40 − 37 = 3 ✓ - 11Explain why you must fill a three-event Venn diagram from the CENTRE outwards.
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Each pairwise total already includes the learners who take all three ✓; filling from the centre lets you subtract that overlap so no one is counted twice ✓
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