9709/63

Mathematics 9709/63May/June 2017

Cambridge A-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 · Permutations and Combinations · Representation of Data

Q14MProbabilityFree sample

A biased die has faces numbered 1 to 6. The probabilities of the die landing on 1, 3 or 5 are each equal to 0.1. The probabilities of the die landing on 2 or 4 are each equal to 0.2. The die is thrown twice. Find the probability that the sum of the numbers it lands on is 9.

DifficultyMedium
Worked solution

Approach

The two throws are independent, so the probability of any ordered pair is the product of the individual probabilities. Since the probabilities of faces 1 to 5 are given, first find the missing probability for face 6 using the fact that the total probability is 1. Then list all ordered pairs of outcomes whose sum is 9, multiply the probabilities for each pair, and add the results because the pairs are mutually exclusive.

Working

Let P(r)P(r) be the probability of landing on face rr.

The given probabilities are:

P(1)=P(3)=P(5)=0.1,P(2)=P(4)=0.2P(1)=P(3)=P(5)=0.1, \quad P(2)=P(4)=0.2

Since the total probability is 11:

P(6)=1(0.1+0.1+0.1+0.2+0.2)=10.7=0.3P(6) = 1 - (0.1+0.1+0.1+0.2+0.2) = 1 - 0.7 = 0.3

The ordered pairs with sum 99 are (3,6)(3,6), (4,5)(4,5), (5,4)(5,4), (6,3)(6,3). Their probabilities are:

P(3,6)=0.1×0.3=0.03P(3,6)=0.1 \times 0.3 = 0.03 P(4,5)=0.2×0.1=0.02P(4,5)=0.2 \times 0.1 = 0.02 P(5,4)=0.1×0.2=0.02P(5,4)=0.1 \times 0.2 = 0.02 P(6,3)=0.3×0.1=0.03P(6,3)=0.3 \times 0.1 = 0.03

These events are mutually exclusive, so add:

P(sum=9)=0.03+0.02+0.02+0.03=0.1P(\text{sum}=9) = 0.03 + 0.02 + 0.02 + 0.03 = 0.1

Answer

0.10.1
Final answer

0.1

Detailed explanation

Walkthrough

We need the probability that the sum of two throws is 9.

First, the probabilities of faces 1, 2, 3, 4 and 5 are given, but face 6 is missing. Since the probabilities of all possible outcomes must add to 1, we find:

P(6)=1(0.1+0.1+0.1+0.2+0.2)=0.3P(6) = 1 - (0.1+0.1+0.1+0.2+0.2) = 0.3

Next, because the two throws are independent, the probability of a particular ordered pair (a,b)(a,b) is P(a)×P(b)P(a) \times P(b).

The sum is 9 for the ordered pairs (3,6)(3,6), (4,5)(4,5), (5,4)(5,4) and (6,3)(6,3). Notice that both orders count: (3,6)(3,6) and (6,3)(6,3) are different outcomes, as are (4,5)(4,5) and (5,4)(5,4).

Now multiply the individual probabilities:

P(3,6)=0.1×0.3=0.03P(3,6)=0.1 \times 0.3 = 0.03 P(4,5)=0.2×0.1=0.02P(4,5)=0.2 \times 0.1 = 0.02 P(5,4)=0.1×0.2=0.02P(5,4)=0.1 \times 0.2 = 0.02 P(6,3)=0.3×0.1=0.03P(6,3)=0.3 \times 0.1 = 0.03

These four outcomes cannot happen at the same time, so they are mutually exclusive and we add their probabilities:

0.03+0.02+0.02+0.03=0.10.03 + 0.02 + 0.02 + 0.03 = 0.1

This can also be written as (0.03+0.02)×2=0.1(0.03 + 0.02) \times 2 = 0.1.

Key Takeaways

  • The total probability over all outcomes is 1, so a missing probability can be found by subtracting the known probabilities from 1.
  • Two throws are independent, so multiply the individual probabilities for an ordered pair.
  • Order matters when the two throws are distinguishable, so (3,6)(3,6) and (6,3)(6,3) are both counted.
  • Mutually exclusive outcomes are combined by addition.

Common Mistakes

  • Forgetting to find P(6)P(6) first.
  • Treating all faces as equally likely; the die is biased, so face probabilities are not all 16\frac{1}{6}.
  • Missing one of the ordered pairs, especially (3,6)(3,6) and (6,3)(6,3) or (4,5)(4,5) and (5,4)(5,4).
  • Multiplying probabilities but forgetting to add the mutually exclusive cases.
  • Using P(5)=0.2P(5)=0.2 instead of P(5)=0.1P(5)=0.1.

Things to Be Careful About

  • The known probabilities are 3×0.1+2×0.2=0.73 \times 0.1 + 2 \times 0.2 = 0.7, so P(6)=0.3P(6)=0.3.
  • Face 4 has probability 0.2 and face 5 has probability 0.1; do not swap these.
  • Both orders must be included for each valid pair.
  • The final answer should be simplified to 0.1, though unsimplified products are accepted in the working.
Techniques used
find missing probability from total probabilitylist ordered outcomes summing to targetmultiply probabilities for independent throwsadd mutually exclusive probabilities

The rest of this paper

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  • Q3Probability5M
  • Q4The Normal Distribution6M
  • Q5Discrete Random Variables8M
  • Q6Permutations and Combinations · Probability11M
  • Q7Representation of Data11M
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