9709/52

Mathematics 9709/52May/June 2021

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

7
questions
50
marks
75
minutes

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

Q1Discrete Random VariablesFree sample

An ordinary fair die is thrown repeatedly until a 5 is obtained. The number of throws taken is denoted by the random variable XX.

(a)

Write down the mean of XX.

1M
DifficultyEasy
Worked solution

Approach

Each throw is an independent trial with probability p=16p=\frac{1}{6} of obtaining a 5, and we are waiting for the first success. Therefore XX follows a geometric distribution, whose mean is 1p\frac{1}{p}.

Working

XGeo(p),p=16X \sim \text{Geo}(p), \quad p = \frac{1}{6} E(X)=1p=11/6=6\text{E}(X) = \frac{1}{p} = \frac{1}{1/6} = 6

Answer

The mean of XX is 6.

Final answer

6

Detailed explanation

Walkthrough

The die is fair, so on any single throw the probability of getting a 5 is 16\frac{1}{6}. We keep throwing until the first 5 appears, so XX counts the number of trials up to and including that first 5. This is exactly the geometric distribution with success probability p=16p=\frac{1}{6}.

For a geometric distribution, the expected number of trials needed for the first success is 1p\frac{1}{p}. In this case:

E(X)=11/6=6\text{E}(X) = \frac{1}{1/6} = 6

So on average, it takes 6 throws to obtain the first 5.

Key Takeaways

A situation of repeated independent trials until the first success is modelled by a geometric distribution. The parameter pp is the probability of success on each trial, and its mean is 1p\frac{1}{p}. Recognising this structure immediately avoids lengthy expectation calculations.

Common Mistakes

A common mistake is to take the mean as npnp, the formula for the binomial distribution. Here there is no fixed number of trials, so the geometric mean 1p\frac{1}{p} is correct.

Another common mistake is to use p=56p=\frac{5}{6} because there are five non-5 outcomes. The success being counted is obtaining a 5, so p=16p=\frac{1}{6}.

Things to Be Careful About

The distribution counts the total number of throws including the throw on which the 5 first appears, not the number of failures before it. The formula 1p\frac{1}{p} is for this total-trial count.

Techniques used
identify the repeated trials as a geometric distributionapply the mean formula for a geometric distribution
(b)

Find the probability that a 5 is first obtained after the 3rd throw but before the 8th throw.

2M
DifficultyMedium-Easy
Worked solution

Approach

The event that a 5 is first obtained after the 3rd throw but before the 8th throw means the first 5 occurs on the 4th, 5th, 6th or 7th throw, i.e. X=4,5,6,7X=4,5,6,7. For X=kX=k, the first k1k-1 throws must be non-5 and the kkth throw must be a 5.

Let p=16p=\frac{1}{6} and q=56q=\frac{5}{6}. Then

P(X=k)=qk1p.\text{P}(X=k) = q^{k-1}p.

Working

P(3<X<8)=P(X=4)+P(X=5)+P(X=6)+P(X=7)=q3p+q4p+q5p+q6p=q3p(1+q+q2+q3)=q3(1q)(1+q+q2+q3)=q3(1q4)=q3q7\begin{aligned} \text{P}(3<X<8) &= \text{P}(X=4)+\text{P}(X=5)+\text{P}(X=6)+\text{P}(X=7) \\ &= q^3p + q^4p + q^5p + q^6p \\ &= q^3p(1+q+q^2+q^3) \\ &= q^3(1-q)(1+q+q^2+q^3) \\ &= q^3(1-q^4) \\ &= q^3 - q^7 \end{aligned}

Substitute p=16p=\frac{1}{6}, q=56q=\frac{5}{6}:

P(3<X<8)=(56)3(56)7=0.2996\text{P}(3<X<8) = \left(\frac{5}{6}\right)^3 - \left(\frac{5}{6}\right)^7 = 0.2996 \ldots

Answer

The probability is 0.300 (3 s.f.).

Final answer

0.300

Detailed explanation

Walkthrough

For a geometric distribution, if X=kX=k then the first k1k-1 throws are not 5 and the kkth throw is a 5. With p=16p=\frac{1}{6} and q=56q=\frac{5}{6},

P(X=k)=qk1p.\text{P}(X=k)=q^{k-1}p.

The phrase after the 3rd throw but before the 8th throw excludes the 3rd throw itself and the 8th throw itself, so it includes the 4th, 5th, 6th and 7th throws. We therefore add four separate probabilities. Since these events are mutually exclusive, addition is valid.

To simplify the sum, factor out q3pq^3p. The remaining bracket is a finite geometric sum, and multiplying by 1q1-q gives 1q41-q^4. This produces

q3q7.q^3 - q^7.

Equivalently, this is P(X7)P(X3)=q3q7\text{P}(X\le 7)-\text{P}(X\le 3)=q^3-q^7. Finally substitute q=56q=\frac{5}{6} and evaluate to 0.2996..., which is 0.300 to three significant figures.

Key Takeaways

The geometric distribution gives the probability that the first success occurs on the kkth trial. Summing probabilities over a range is appropriate when multiple outcomes satisfy the condition, because these outcomes are mutually exclusive. Recognising a common factor leads to a compact expression.

Common Mistakes

A common mistake is to include X=3X=3 or X=8X=8 by misreading after the 3rd but before the 8th. The phrase means XX takes values strictly between 3 and 8.

Another frequent error is using the wrong exponent: the probability for X=kX=k is qk1pq^{k-1}p, not qkpq^{k}p.

Things to Be Careful About

The die is fair, so p=16p=\frac{1}{6} and q=56q=\frac{5}{6}. Give the final probability to at least 3 significant figures, as requested by the mark scheme. The exact value is 0.2996..., so 0.300 is correct to 3 s.f.

Techniques used
translate the wording into the range of possible values of Xsum the geometric probabilities for the allowed valuessimplify the sum by factoring out a common power
(c)

Find the probability that a 5 is first obtained in fewer than 10 throws.

2M
DifficultyMedium-Easy
Worked solution

Approach

Fewer than 10 throws means X=1,2,,9X=1,2,\ldots,9. The complement is X10X\ge 10, which means the first 5 has not appeared in any of the first 9 throws.

Working

With q=56q=\frac{5}{6},

P(X10)=q9=(56)9\text{P}(X \ge 10) = q^9 = \left(\frac{5}{6}\right)^9

Therefore

P(X<10)=1(56)9=0.80619\text{P}(X < 10) = 1 - \left(\frac{5}{6}\right)^9 = 0.80619\ldots

Answer

The probability is 0.806 (3 s.f.).

Final answer

0.806

Detailed explanation

Walkthrough

Here we want P(X<10)\text{P}(X<10). Since XX is the number of throws until the first 5, X<10X<10 means the first 5 appears on one of throws 1 to 9. The complement is X10X\ge 10, which happens exactly when the first 9 throws all fail to give a 5.

The probability of no 5 on one throw is q=56q=\frac{5}{6}. Therefore

P(X10)=q9=(56)9.\text{P}(X\ge 10)=q^9=\left(\frac{5}{6}\right)^9.

Using the complement rule,

P(X<10)=1q9=0.80619\text{P}(X<10)=1-q^9=0.80619\ldots

An equivalent method is to add the geometric probabilities for X=1,2,,9X=1,2,\ldots,9:

16+16(56)++16(56)8=0.806.\frac16+\frac16\left(\frac56\right)+\cdots+\frac16\left(\frac56\right)^8=0.806.

Key Takeaways

For a waiting-time geometric distribution, the complement of first success within nn trials is no success in the first nn trials. This often gives the fastest calculation.

Common Mistakes

A common mistake is to use 1q101-q^{10} because fewer than 10 is confused with at most 10. Fewer than 10 throws means X9X\le 9, so the complement is q9q^9, not q10q^{10}.

Another possible mistake is to set q=16q=\frac16 instead of 56\frac56 when considering failures.

Things to Be Careful About

The wording fewer than 10 is strict: it includes 9 but not 10. Use the complement q9q^9. The answer should be given as 0.806 to 3 significant figures.

Techniques used
interpret fewer than 10 throws as the first success occurring within the first nine trialsuse the complement of no success in the first nine trials

The rest of this paper

6 more questions
  • Q2The Normal Distribution4M
  • Q3Probability6M
  • Q4Discrete Random Variables6M
  • Q5Probability · Discrete Random Variables · The Normal Distribution9M
  • Q6Permutations and Combinations · Probability10M
  • Q7Representation of Data10M
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