9709/62

Mathematics 9709/62May/June 2016

Cambridge A-Level · Probability & Statistics 1 (S1) · worked solutions for every part, with the mark scheme

7
questions
50
marks
75
minutes

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

Q1ProbabilityFree sample

Ayman’s breakfast drink is tea, coffee or hot chocolate with probabilities 0.65, 0.28, 0.07 respectively. When he drinks tea, the probability that he has milk in it is 0.8. When he drinks coffee, the probability that he has milk in it is 0.5. When he drinks hot chocolate he always has milk in it.

(i)

Draw a fully labelled tree diagram to represent this information.

2M
DifficultyEasy
Worked solution

Approach

Draw a two-level tree diagram. The first level represents the three drink choices with their given probabilities. The second level from each drink represents whether milk is added or not, using the given conditional probabilities.

Working

First level branches (drink choice):

P(T)=0.65,P(C)=0.28,P(HC)=0.07P(T) = 0.65, \quad P(C) = 0.28, \quad P(HC) = 0.07

Check: 0.65+0.28+0.07=1.000.65 + 0.28 + 0.07 = 1.00

Second level branches (milk or no milk):

From Tea:

P(MT)=0.8,P(NMT)=10.8=0.2P(M \mid T) = 0.8, \quad P(NM \mid T) = 1 - 0.8 = 0.2

From Coffee:

P(MC)=0.5,P(NMC)=10.5=0.5P(M \mid C) = 0.5, \quad P(NM \mid C) = 1 - 0.5 = 0.5

From Hot Chocolate:

P(MHC)=1,P(NMHC)=11=0P(M \mid HC) = 1, \quad P(NM \mid HC) = 1 - 1 = 0

Answer

Tree diagram with first-level branches T (0.65), C (0.28), HC (0.07) and second-level branches M and NM from each with probabilities 0.8/0.2, 0.5/0.5, and 1/0 respectively.

Final answer

Tree diagram with branches T(0.65)→M(0.8),NM(0.2); C(0.28)→M(0.5),NM(0.5); HC(0.07)→M(1),NM(0)

Detailed explanation

Walkthrough

A tree diagram is the natural way to represent this multi-stage probability problem. We start with the first stage: Ayman's choice of drink. There are three mutually exclusive outcomes — tea (T), coffee (C), or hot chocolate (HC) — with probabilities 0.65, 0.28, and 0.07 respectively. These must sum to 1, which they do: 0.65+0.28+0.07=1.000.65 + 0.28 + 0.07 = 1.00.

From each drink choice, there is a second stage: whether milk is added or not. The problem gives conditional probabilities for milk given each drink:

  • Given tea: P(MT)=0.8P(M \mid T) = 0.8, so P(NMT)=10.8=0.2P(NM \mid T) = 1 - 0.8 = 0.2
  • Given coffee: P(MC)=0.5P(M \mid C) = 0.5, so P(NMC)=10.5=0.5P(NM \mid C) = 1 - 0.5 = 0.5
  • Given hot chocolate: P(MHC)=1P(M \mid HC) = 1, so P(NMHC)=11=0P(NM \mid HC) = 1 - 1 = 0

Each pair of second-level branches from a single node must sum to 1, which is a key check when constructing tree diagrams.

Key Takeaways

  • Tree diagrams visually represent multi-stage probability problems with conditional probabilities on the branches.
  • The second-level branches from each node represent conditional probabilities and must sum to 1.
  • The complementary probability P(NM)=1P(M)P(NM) = 1 - P(M) is used when only one conditional probability is given.

Common Mistakes

  • Forgetting to label all branches with probabilities.
  • Not calculating the complementary probabilities (no milk) for each drink.
  • Writing the conditional probability on the wrong branch (e.g., putting 0.8 on the NM branch from T).

Things to Be Careful About

  • The probabilities on the second-level branches are conditional probabilities P(Mdrink)P(M \mid \text{drink}), not joint probabilities.
  • All branches from a single node must sum to exactly 1.
  • The problem states hot chocolate always has milk, so P(MHC)=1P(M \mid HC) = 1 and P(NMHC)=0P(NM \mid HC) = 0.
Techniques used
draw tree diagramlabel branches with given probabilitiescalculate complementary probabilities
(ii)

Find the probability that Ayman’s breakfast drink is coffee, given that his drink has milk in it.

3M
DifficultyMedium
Worked solution

Approach

Use the conditional probability formula:

P(Cmilk)=P(Cmilk)P(milk)P(C \mid \text{milk}) = \frac{P(C \cap \text{milk})}{P(\text{milk})}

Calculate P(Cmilk)P(C \cap \text{milk}) using the multiplication law along the tree diagram, then find P(milk)P(\text{milk}) by summing all joint probabilities that include milk.

Working

Joint probability of coffee and milk:

P(Cmilk)=P(C)×P(MC)=0.28×0.5=0.14P(C \cap \text{milk}) = P(C) \times P(M \mid C) = 0.28 \times 0.5 = 0.14

Total probability of milk (sum of all paths leading to milk):

P(milk)=P(Tmilk)+P(Cmilk)+P(HCmilk)P(\text{milk}) = P(T \cap \text{milk}) + P(C \cap \text{milk}) + P(HC \cap \text{milk}) P(milk)=(0.65×0.8)+(0.28×0.5)+(0.07×1)P(\text{milk}) = (0.65 \times 0.8) + (0.28 \times 0.5) + (0.07 \times 1) P(milk)=0.52+0.14+0.07=0.73P(\text{milk}) = 0.52 + 0.14 + 0.07 = 0.73

Apply the conditional probability formula:

P(Cmilk)=0.140.73=0.19178P(C \mid \text{milk}) = \frac{0.14}{0.73} = 0.19178\ldots P(Cmilk)0.192P(C \mid \text{milk}) \approx 0.192

Answer

P(Cmilk)=0.192P(C \mid \text{milk}) = 0.192
Final answer

0.192

Detailed explanation

Walkthrough

The question asks for the probability that Ayman's drink is coffee, given that it has milk. This is a conditional probability problem requiring the formula:

P(Cmilk)=P(Cmilk)P(milk)P(C \mid \text{milk}) = \frac{P(C \cap \text{milk})}{P(\text{milk})}

Step 1: Find the numerator P(Cmilk)P(C \cap \text{milk})

Using the multiplication law along the tree diagram path from the start through coffee to milk:

P(Cmilk)=P(C)×P(MC)=0.28×0.5=0.14P(C \cap \text{milk}) = P(C) \times P(M \mid C) = 0.28 \times 0.5 = 0.14

Step 2: Find the denominator P(milk)P(\text{milk})

Milk can appear with any of the three drinks, so we sum the joint probabilities along all paths that lead to milk:

  • Tea and milk: P(Tmilk)=0.65×0.8=0.52P(T \cap \text{milk}) = 0.65 \times 0.8 = 0.52
  • Coffee and milk: P(Cmilk)=0.28×0.5=0.14P(C \cap \text{milk}) = 0.28 \times 0.5 = 0.14
  • Hot chocolate and milk: P(HCmilk)=0.07×1=0.07P(HC \cap \text{milk}) = 0.07 \times 1 = 0.07
P(milk)=0.52+0.14+0.07=0.73P(\text{milk}) = 0.52 + 0.14 + 0.07 = 0.73

Step 3: Apply the conditional probability formula

P(Cmilk)=0.140.73=0.191780.192P(C \mid \text{milk}) = \frac{0.14}{0.73} = 0.19178\ldots \approx 0.192

Key Takeaways

  • Conditional probability P(AB)=P(AB)/P(B)P(A \mid B) = P(A \cap B) / P(B) requires both a joint probability and a marginal probability.
  • The total probability rule P(B)=P(AiB)P(B) = \sum P(A_i \cap B) is used when B can occur through multiple mutually exclusive paths.
  • Tree diagrams make it easy to identify all relevant paths for computing joint and marginal probabilities.

Common Mistakes

  • Forgetting to compute P(milk)P(\text{milk}) correctly by summing all three joint probabilities.
  • Using only one path (e.g., just coffee and milk) in the denominator instead of all paths leading to milk.
  • Not showing the method (multiplication law) — unsupported answers may not receive full marks.
  • Rounding too early in the calculation.

Things to Be Careful About

  • The denominator P(milk)P(\text{milk}) must include contributions from ALL drink types, not just coffee.
  • P(HCmilk)=0.07×1=0.07P(HC \cap \text{milk}) = 0.07 \times 1 = 0.07 — the probability of milk given hot chocolate is 1, not 0.
  • The final answer should be given to 3 significant figures as 0.1920.192, or as the exact fraction 14/7314/73.
Techniques used
apply conditional probability formulacalculate joint probability using multiplication lawuse total probability to find P(milk)

The rest of this paper

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  • Q5Representation of Data9M
  • Q6The Normal Distribution9M
  • Q7Permutations and Combinations9M
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