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2015 A-Level · Paper 2 · Question 9

2015 H2 Maths Paper 2, Question 9

Probability 8 marks independent and combined events
Download Paper 2 solutions (PDF)

Part (i)

1 mark

Since AA and BB are independent,

P(B∣A)=P(B)=0.4P(B \mid A) = P(B) = 0.4

Part (ii)

3 marks

Approach

we want P(A′∩B′∩C′)P(A'\cap B'\cap C'), the probability that none of the three events occur. It is easiest to find this as 1−P(A∪B∪C)1 - P(A \cup B \cup C), and P(A∪B∪C)P(A \cup B \cup C) is found by inclusion-exclusion. Since A,BA,B are independent, A,CA,C are independent, and now B,CB,C are independent too, every pairwise intersection is just a product of probabilities.

P(A∩B)=P(A)P(B)=0.45×0.4=0.18P(A \cap B) = P(A)P(B) = 0.45 \times 0.4 = 0.18
P(A∩C)=P(A)P(C)=0.45×0.3=0.135P(A \cap C) = P(A)P(C) = 0.45 \times 0.3 = 0.135
P(B∩C)=P(B)P(C)=0.4×0.3=0.12P(B \cap C) = P(B)P(C) = 0.4 \times 0.3 = 0.12

By inclusion-exclusion,

P(A∪B∪C)=P(A)+P(B)+P(C)−P(A∩B)−P(A∩C)−P(B∩C)+P(A∩B∩C)P(A \cup B \cup C) = P(A) + P(B) + P(C) - P(A \cap B) - P(A \cap C) - P(B \cap C) + P(A \cap B \cap C)
=0.45+0.4+0.3−0.18−0.135−0.12+0.1= 0.45 + 0.4 + 0.3 - 0.18 - 0.135 - 0.12 + 0.1
=0.815= 0.815

Note: even though every pair of events is independent here, P(A∩B∩C)=0.1≠P(A)P(B)P(C)=0.054P(A \cap B \cap C) = 0.1 \neq P(A)P(B)P(C) = 0.054, so the three events are not mutually independent — the given value of 0.10.1 has to be used as it stands, not replaced by a product.

P(A′∩B′∩C′)=1−P(A∪B∪C)P(A'\cap B'\cap C') = 1 - P(A \cup B \cup C)
=1−0.815= 1 - 0.815
=0.185= 0.185

∴\therefore P(A′∩B′∩C′)=0.185P(A'\cap B'\cap C') = 0.185.

Part (iii)

4 marks

Approach

with BB and CC no longer independent, P(B∩C)P(B \cap C) is not pinned down by P(B)P(B) and P(C)P(C) alone; it can take a range of values, and P(A)P(A), P(A∩B∩C)=0.1P(A \cap B \cap C) = 0.1, and the independence of AA with BB and with CC stay fixed throughout. We split the sample space into the seven regions of the Venn diagram, express each region’s probability in terms of x=P(B∩C)x = P(B \cap C), and require every region to be non-negative — this pins down the range of xx, and hence of P(A′∩B′∩C′)P(A'\cap B'\cap C').

Since A,BA,B are independent and A,CA,C are independent, P(A∩B)=0.18P(A \cap B) = 0.18 and P(A∩C)=0.135P(A \cap C) = 0.135 as before, and P(A∩B∩C)=0.1P(A \cap B \cap C) = 0.1 still. So

P(A∩B∩C′)=P(A∩B)−P(A∩B∩C)=0.18−0.1=0.08P(A \cap B \cap C') = P(A \cap B) - P(A \cap B \cap C) = 0.18 - 0.1 = 0.08
P(A∩B′∩C)=P(A∩C)−P(A∩B∩C)=0.135−0.1=0.035P(A \cap B'\cap C) = P(A \cap C) - P(A \cap B \cap C) = 0.135 - 0.1 = 0.035
P(A only)=P(A)−P(A∩B)−P(A∩C)+P(A∩B∩C)=0.45−0.18−0.135+0.1=0.235P\left( A\ \text{only} \right) = P(A) - P(A \cap B) - P(A \cap C) + P(A \cap B \cap C) = 0.45 - 0.18 - 0.135 + 0.1 = 0.235

Let x=P(B∩C)x = P(B \cap C). Then

P(A′∩B∩C)=x−0.1P(A'\cap B \cap C) = x - 0.1
P(B only)=P(B)−P(A∩B)−x+P(A∩B∩C)=0.4−0.18−x+0.1=0.32−xP\left( B\ \text{only} \right) = P(B) - P(A \cap B) - x + P(A \cap B \cap C) = 0.4 - 0.18 - x + 0.1 = 0.32 - x
P(C only)=P(C)−P(A∩C)−x+P(A∩B∩C)=0.3−0.135−x+0.1=0.265−xP\left( C\ \text{only} \right) = P(C) - P(A \cap C) - x + P(A \cap B \cap C) = 0.3 - 0.135 - x + 0.1 = 0.265 - x

Each of these seven regional probabilities must be non-negative. P(A′∩B∩C)=x−0.1≥0P(A'\cap B \cap C) = x - 0.1 \geq 0 gives x≥0.1x \geq 0.1; P(B only)=0.32−x≥0P\left( B\ \text{only} \right) = 0.32 - x \geq 0 gives x≤0.32x \leq 0.32; P(C only)=0.265−x≥0P\left( C\ \text{only} \right) = 0.265 - x \geq 0 gives x≤0.265x \leq 0.265. Together,

0.1≤x≤0.2650.1 \leq x \leq 0.265

Summing all seven regions,

P(A∪B∪C)=0.235+(0.32−x)+(0.265−x)+0.08+0.035+(x−0.1)+0.1P(A \cup B \cup C) = 0.235 + (0.32 - x) + (0.265 - x) + 0.08 + 0.035 + (x - 0.1) + 0.1
=0.935−x= 0.935 - x

so

P(A′∩B′∩C′)=1−(0.935−x)P(A'\cap B'\cap C') = 1 - (0.935 - x)
=0.065+x= 0.065 + x

This is increasing in xx, so it is greatest when xx is greatest and least when xx is least.

At x=0.265x = 0.265: P(A′∩B′∩C′)=0.065+0.265=0.33P(A'\cap B'\cap C') = 0.065 + 0.265 = 0.33. At x=0.1x = 0.1: P(A′∩B′∩C′)=0.065+0.1=0.165P(A'\cap B'\cap C') = 0.065 + 0.1 = 0.165.

To check your answer: at x=0.1x = 0.1, P(A′∩B∩C)=0P(A'\cap B \cap C) = 0, i.e. B∩CB \cap C occurs only together with AA — a valid boundary case; at x=0.265x = 0.265, P(C only)=0P\left( C\ \text{only} \right) = 0, another valid boundary case. Both extremes correspond to one region vanishing, as expected at the edge of a feasible range. ✓

∴\therefore the greatest possible value of P(A′∩B′∩C′)P(A'\cap B'\cap C') is 0.330.33, and the least possible value is 0.1650.165.

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