9709/62

Mathematics 9709/62May/June 2019

Cambridge AS Level · Probability & Statistics 1 · worked solutions for every part, with the mark scheme

7
questions
50
marks
75
minutes

Topics Probability · The Normal Distribution · Discrete Random Variables · Representation of Data · Permutations and Combinations

Q14MProbabilityFree sample

Two ordinary fair dice are thrown and the numbers obtained are noted. Event SS is ‘The sum of the numbers is even’. Event TT is ‘The sum of the numbers is either less than 6 or a multiple of 4 or both’. Showing your working, determine whether the events SS and TT are independent.

DifficultyMedium
Worked solution

Approach

We treat the two dice as giving 6×6=366 \times 6 = 36 equally likely outcomes, count the outcomes in each event, then test independence by comparing P(S)P(T)P(S)P(T) with P(ST)P(S \cap T) (equivalently comparing P(ST)P(S \mid T) with P(S)P(S)).

Working

P(S)P(S)

The sum is even when the two numbers have the same parity. Exactly half of the 36 outcomes are even sums, so

P(S)=1836=12P(S) = \frac{18}{36} = \frac{1}{2}

P(T)P(T)

Event TT collects sums that are less than 6 or multiples of 4 or both. Sums less than 6 are 2, 3, 4, 5; multiples of 4 are 4, 8, 12. The sum 4 belongs to both sets and is counted once, so T={2,3,4,5,8,12}T = \{2, 3, 4, 5, 8, 12\}.

Counting outcomes for each sum:

  • sum 2: 1 outcome (1,1)(1,1)
  • sum 3: 2 outcomes
  • sum 4: 3 outcomes
  • sum 5: 4 outcomes
  • sum 8: 5 outcomes
  • sum 12: 1 outcome

Total =1+2+3+4+5+1=16= 1 + 2 + 3 + 4 + 5 + 1 = 16.

P(T)=1636=49P(T) = \frac{16}{36} = \frac{4}{9}

P(ST)P(S \cap T)

The even sums inside TT are 2, 4, 8, 12, giving 1+3+5+1=101 + 3 + 5 + 1 = 10 outcomes.

P(ST)=1036=518P(S \cap T) = \frac{10}{36} = \frac{5}{18}

Independence test

P(S)P(T)=12×49=418=836P(S)P(T) = \frac{1}{2} \times \frac{4}{9} = \frac{4}{18} = \frac{8}{36}

Since

8361036\frac{8}{36} \neq \frac{10}{36}

we have P(S)P(T)P(ST)P(S)P(T) \neq P(S \cap T), so the events are not independent.

(Alternatively, P(ST)=1016=58P(S)=12P(S \mid T) = \frac{10}{16} = \frac{5}{8} \neq P(S) = \frac{1}{2}, giving the same conclusion.)

Answer

The events SS and TT are not independent.

Final answer

The events S and T are not independent.

Detailed explanation

Walkthrough

This problem asks whether two events on a probability space are independent. The definition we use is that SS and TT are independent exactly when P(ST)=P(S)P(T)P(S \cap T) = P(S)P(T); an equivalent statement is P(ST)=P(S)P(S \mid T) = P(S).

Begin by fixing the sample space: two fair dice give 6×6=366 \times 6 = 36 equally likely outcomes, so every probability is a count divided by 36.

Finding P(S)P(S): a sum is even when both dice show the same parity (both even or both odd). For a fair die there are 3 even and 3 odd faces, and counting shows exactly half of the 36 outcomes are even sums, so P(S)=18/36=1/2P(S) = 18/36 = 1/2. This earns the first B1.

Finding P(T)P(T): the wording "less than 6, or a multiple of 4, or both" tells us to take the union of the two sets. The sums less than 6 are 2, 3, 4, 5; the multiples of 4 are 4, 8, 12. The number 4 appears in both, but the union should contain it only once, so T={2,3,4,5,8,12}T = \{2, 3, 4, 5, 8, 12\}. Now count the ordered pairs giving each sum: 1+2+3+4+5+1=161 + 2 + 3 + 4 + 5 + 1 = 16, hence P(T)=16/36=4/9P(T) = 16/36 = 4/9. That is the second B1.

Finding P(ST)P(S \cap T): intersect the even sums with TT. The even sums in TT are 2, 4, 8 and 12, totalling 1+3+5+1=101 + 3 + 5 + 1 = 10 outcomes, so P(ST)=10/36=5/18P(S \cap T) = 10/36 = 5/18. This earns the M1. A crucial point from the mark scheme is that P(ST)P(S \cap T) must be obtained by direct counting — multiplying P(S)P(S) by P(T)P(T) scores M0 because doing so assumes independence, which is the very thing under test.

Testing independence: multiply P(S)P(S) by P(T)P(T) to get 12×49=418=836\frac{1}{2} \times \frac{4}{9} = \frac{4}{18} = \frac{8}{36}, and compare with P(ST)=1036P(S \cap T) = \frac{10}{36}. Because 8361036\frac{8}{36} \neq \frac{10}{36}, the product rule fails and the events are not independent; stating this comparison and the conclusion earns the A1. The alternative accepted route is to observe P(ST)=1016=58P(S \mid T) = \frac{10}{16} = \frac{5}{8}, which differs from P(S)=12P(S) = \frac{1}{2} (or P(TS)=101849P(T \mid S) = \frac{10}{18} \neq \frac{4}{9}), giving the same verdict.

Key Takeaways

The central idea is the product rule for independence: AA and BB are independent if and only if P(AB)=P(A)P(B)P(A \cap B) = P(A)P(B), with the conditional form P(AB)=P(A)P(A \mid B) = P(A) as an equivalent test. The problem also reinforces careful enumeration over the 36-element two-dice sample space, and correct handling of a union described with "or both" so that overlapping elements (the sum 4) are not double counted.

Common Mistakes

  • Finding P(ST)P(S \cap T) by multiplying P(S)P(S) and P(T)P(T): this builds the independence assumption into the working (circular reasoning) and scores M0 under the mark scheme.
  • Double counting the sum 4 when forming TT, because it is simultaneously less than 6 and a multiple of 4; it must be counted once.
  • Forgetting sum 12 as a multiple of 4, or misremembering the number of outcomes for a given sum (e.g. sum 8 has 5 outcomes).
  • Concluding that the events are independent, or stating the conclusion without showing the comparison 8361036\frac{8}{36} \neq \frac{10}{36}.

Things to Be Careful About

  • Count the ordered pairs for each sum carefully: sum 2 (1 pair), 3 (2), 4 (3), 5 (4), 8 (5), 12 (1). Missing any pair changes the counts.
  • The phrase "or both" signals a union requiring the inclusion–exclusion idea: the overlap (sum 4) is counted only once.
  • Independence demands the strict equality P(S)P(T)=P(ST)P(S)P(T) = P(S \cap T); any inequality means dependence. Write both sides explicitly to secure the A1.
  • The mark scheme requires the working to be entirely correct (www) for the final mark — an unsupported or wrong answer is not accepted.
Techniques used
enumerate the 36 outcomes of two dicecount favourable outcomes for each eventtest independence by comparing P(S)P(T) with P(S∩T)confirm non-independence via conditional probability

The rest of this paper

6 more questions
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  • Q3Discrete Random Variables6M
  • Q4The Normal Distribution5M
  • Q5Probability · Discrete Random Variables11M
  • Q6Representation of Data10M
  • Q7Permutations and Combinations10M
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