9709/52

Mathematics 9709/52October/November 2022

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

7
questions
50
marks
75
minutes

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

Q1ProbabilityFree sample

On any day, Kino travels to school by bus, by car or on foot with probabilities 0.2, 0.1 and 0.7 respectively. The probability that he is late when he travels by bus is xx. The probability that he is late when he travels by car is 2x2x and the probability that he is late when he travels on foot is 0.25.

The probability that, on a randomly chosen day, Kino is late is 0.235.

(a)

Find the value of xx.

3M
DifficultyMedium-Easy
Worked solution

Approach

Kino's three travel methods are mutually exclusive and exhaustive, so the overall probability that he is late is the sum of the probabilities for each method. For each method, multiply the probability of choosing that method by the corresponding probability of being late, set the sum equal to 0.2350.235, and solve for xx.

Working

The probability that Kino is late is:

0.2×x+0.1×2x+0.7×0.25=0.2350.2 \times x + 0.1 \times 2x + 0.7 \times 0.25 = 0.235

Simplify the left-hand side:

0.2x+0.2x+0.175=0.2350.2x + 0.2x + 0.175 = 0.235 0.4x+0.175=0.2350.4x + 0.175 = 0.235

Subtract 0.1750.175 from both sides:

0.4x=0.060.4x = 0.06

Divide both sides by 0.40.4:

x=0.15x = 0.15

Answer

x=0.15x = 0.15
Final answer

x = 0.15

Detailed explanation

Walkthrough

Kino can travel by bus, by car or on foot, and these are the only possible ways. The probability that he is late on any day is the weighted sum of the probabilities of being late for each travel method. For the bus, this is 0.2×x0.2 \times x; for the car, 0.1×2x0.1 \times 2x; for walking, 0.7×0.250.7 \times 0.25. Add these and set the sum equal to 0.2350.235. This gives 0.4x+0.175=0.2350.4x + 0.175 = 0.235, so 0.4x=0.060.4x = 0.06 and x=0.15x = 0.15.

Key Takeaways

This question tests the law of total probability: when events are mutually exclusive and exhaustive, the total probability is the sum of the products of the probability of each event and the conditional probability of the outcome given that event. It also tests solving a simple linear equation.

Common Mistakes

  • Forgetting that the car late probability is 2x2x, not xx.
  • Omitting the walking term 0.7×0.250.7 \times 0.25.
  • Setting the expression equal to 11 instead of 0.2350.235.
  • Mis-collecting the xx-terms, for example writing 0.2x+0.1x0.2x + 0.1x instead of 0.2x+0.2x0.2x + 0.2x.

Things to Be Careful About

The travel probabilities sum to 11, so the events are exhaustive. The late probabilities are conditional probabilities, not travel probabilities. Keep the values in decimal form; then 0.4x=0.060.4x = 0.06 gives x=0.15x = 0.15.

Techniques used
apply the law of total probabilitysum weighted probabilities for each travel methodsolve a linear equation for x
(b)

Find the probability that, on a randomly chosen day, Kino travels to school by car given that he is not late.

2M
DifficultyMedium
Worked solution

Approach

Use the conditional probability formula: the probability that Kino travels by car given that he is not late is the probability that he travels by car and is not late, divided by the probability that he is not late. Use x=0.15x = 0.15 from part (a).

Working

From part (a), x=0.15x = 0.15, so the probability that he is late when he travels by car is:

2x=2×0.15=0.302x = 2 \times 0.15 = 0.30

The probability that he travels by car and is not late is:

P(car and not late)=0.1×(10.30)=0.1×0.70=0.07P(\text{car and not late}) = 0.1 \times (1 - 0.30) = 0.1 \times 0.70 = 0.07

The probability that he is not late is:

P(not late)=10.235=0.765P(\text{not late}) = 1 - 0.235 = 0.765

Therefore:

P(carnot late)=0.070.765=14153=0.0915(3 s.f.)P(\text{car} \mid \text{not late}) = \frac{0.07}{0.765} = \frac{14}{153} = 0.0915 \quad (3 \text{ s.f.})

Answer

P(carnot late)=0.0915P(\text{car} \mid \text{not late}) = 0.0915
Final answer

0.0915

Detailed explanation

Walkthrough

We need P(carnot late)P(\text{car} \mid \text{not late}). By the conditional probability formula, this is:

P(car and not late)P(not late)\frac{P(\text{car and not late})}{P(\text{not late})}

From part (a), x=0.15x = 0.15, so the probability of being late by car is 2x=0.302x = 0.30. Therefore the probability of going by car and not being late is 0.1×(10.30)=0.070.1 \times (1 - 0.30) = 0.07. The probability of not being late is 10.235=0.7651 - 0.235 = 0.765. Hence the conditional probability is:

0.070.765=14153=0.0915\frac{0.07}{0.765} = \frac{14}{153} = 0.0915

to 3 significant figures.

Key Takeaways

This question tests conditional probability and the complement rule. The joint probability of two events is found by multiplication, and the denominator of a conditional probability must be the probability of the condition being given.

Common Mistakes

  • Using 0.1×0.30.1 \times 0.3 instead of 0.1×(10.30)0.1 \times (1 - 0.30).
  • Using 0.2350.235 as the denominator instead of 10.2351 - 0.235.
  • Using xx instead of 2x2x for the car late probability.
  • Leaving the answer as an unsimplified fraction such as 0.07/0.7650.07/0.765 when the question expects a decimal to at least 3 significant figures.

Things to Be Careful About

The denominator is the probability of being not late, so it is 10.2351 - 0.235. The numerator must be the joint probability of both car and not late. If xx was found incorrectly, the mark scheme allows follow-through with the candidate's value, but the correct value is x=0.15x = 0.15.

Techniques used
apply the conditional probability formulause the complement rule to find P(not late)multiply probabilities to find car and not latesimplify the resulting fraction

The rest of this paper

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  • Q7Permutations and Combinations · Probability10M
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