9709/63

Mathematics 9709/63May/June 2019

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

7
questions
50
marks
75
minutes

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

Q1The Normal DistributionFree sample

The time taken, in minutes, by a ferry to cross a lake has a normal distribution with mean 85 and standard deviation 6.8.

(i)

Find the probability that, on a randomly chosen occasion, the time taken by the ferry to cross the lake is between 79 and 91 minutes.

3M
DifficultyMedium-Easy
Worked solution

Approach

Let XX be the crossing time in minutes. Standardise the normal variable using Z=XμσZ = \frac{X - \mu}{\sigma} with μ=85\mu = 85 and σ=6.8\sigma = 6.8, then use the symmetry of the standard normal distribution to find the probability between the two bounds.

Working

P(79<X<91)=P(79856.8<Z<91856.8)=P(0.8824<Z<0.8824)\begin{aligned} \mathrm{P}(79 < X < 91) &= \mathrm{P}\left(\frac{79-85}{6.8} < Z < \frac{91-85}{6.8}\right) \\ &= \mathrm{P}(-0.8824 < Z < 0.8824) \end{aligned}

Using the standard normal table, Φ(0.8824)=0.8111\Phi(0.8824) = 0.8111. By symmetry,

P(0.8824<Z<0.8824)=2Φ(0.8824)1=2(0.8111)1=0.6222\mathrm{P}(-0.8824 < Z < 0.8824) = 2\Phi(0.8824) - 1 = 2(0.8111) - 1 = 0.6222

Answer

P(79<X<91)=0.622\mathrm{P}(79 < X < 91) = 0.622
Final answer

0.622

Detailed explanation

Walkthrough

We are told that the crossing time XX is normally distributed with mean μ=85\mu = 85 and standard deviation σ=6.8\sigma = 6.8. The question asks for the probability that a randomly chosen crossing takes between 79 and 91 minutes.

The normal table gives probabilities for the standard normal distribution ZN(0,1)Z \sim N(0,1), so we first convert the endpoints 79 and 91 into zz-scores:

z1=79856.8=0.8824,z2=91856.8=0.8824z_1 = \frac{79 - 85}{6.8} = -0.8824, \quad z_2 = \frac{91 - 85}{6.8} = 0.8824

Because the two zz-scores are equal and opposite, the required area is symmetric about the mean. From the table, Φ(0.8824)=0.8111\Phi(0.8824) = 0.8111, so the area above 0.88240.8824 is 10.8111=0.18891 - 0.8111 = 0.1889. By symmetry the area below 0.8824-0.8824 is also 0.18890.1889. Therefore the middle area is:

0.81110.1889=0.62220.8111 - 0.1889 = 0.6222

which rounds to 0.6220.622.

Key Takeaways

  • A normal probability is an area under the normal curve.
  • Standardisation converts any normal distribution to N(0,1)N(0,1) using Z=XμσZ = \frac{X - \mu}{\sigma}.
  • Symmetry can simplify probabilities between equal and opposite zz-values.

Common Mistakes

  • Forgetting to standardise before using the normal table.
  • Using the variance 6.826.8^2 instead of the standard deviation 6.86.8 in the zz-score formula.
  • Applying a continuity correction; this is not a binomial approximation, so no continuity correction is needed.

Things to Be Careful About

  • Keep the sign of the lower zz-score negative.
  • Use the cumulative probability Φ(z)\Phi(z) correctly: P(Z<0.8824)=1Φ(0.8824)\mathrm{P}(Z < -0.8824) = 1 - \Phi(0.8824).
  • Round the final probability to 3 significant figures as shown in the mark scheme.
Techniques used
standardise the normal variable using the Z-score formulause symmetry of the standard normal distributionlook up cumulative probabilities from the normal table
(ii)

Over a long period it is found that 96% of ferry crossings take longer than a certain time tt minutes. Find the value of tt.

3M
DifficultyMedium
Worked solution

Approach

We need the time tt such that 96% of crossings are longer than tt, i.e. P(X>t)=0.96\mathrm{P}(X > t) = 0.96. This means P(X<t)=0.04\mathrm{P}(X < t) = 0.04. Find the corresponding negative zz-value from the normal table, then use the standardisation formula to solve for tt.

Working

P(X>t)=0.96P(Z<z)=0.04\mathrm{P}(X > t) = 0.96 \Rightarrow \mathrm{P}(Z < z) = 0.04

From the standard normal table, z=1.751z = -1.751.

Using Z=XμσZ = \frac{X - \mu}{\sigma}:

1.751=t856.8-1.751 = \frac{t - 85}{6.8} t=85+6.8(1.751)=8511.9068=73.0932t = 85 + 6.8(-1.751) = 85 - 11.9068 = 73.0932

Answer

t=73.1 minutest = 73.1 \text{ minutes}
Final answer

t = 73.1 minutes

Detailed explanation

Walkthrough

We need the time tt such that 96% of crossings take longer than tt. In probability notation, P(X>t)=0.96\mathrm{P}(X > t) = 0.96.

Since the total probability is 1, this is equivalent to P(X<t)=0.04\mathrm{P}(X < t) = 0.04. This tells us that tt is below the mean, so the corresponding zz-value must be negative. Looking up the lower-tail probability 0.04 in the standard normal table gives z=1.751z = -1.751.

Now use the standardisation formula:

1.751=t856.8-1.751 = \frac{t - 85}{6.8}

Multiply both sides by 6.8:

t85=6.8×(1.751)=11.9068t - 85 = 6.8 \times (-1.751) = -11.9068

Therefore:

t=8511.9068=73.0932t = 85 - 11.9068 = 73.0932

So t=73.1t = 73.1 minutes, correct to 3 significant figures.

Key Takeaways

  • A statement like '96% are longer than tt' means a right-tail probability P(X>t)=0.96\mathrm{P}(X > t) = 0.96.
  • Convert a right-tail probability to a lower-tail probability before using the table.
  • Inverse normal problems require solving the standardisation equation for the unknown value.

Common Mistakes

  • Using z=+1.751z = +1.751 instead of 1.751-1.751; this would give a time above the mean, which contradicts '96% are longer'.
  • Using the variance instead of the standard deviation in the equation.
  • Looking up 0.96 directly as the lower-tail probability without realising that 0.96 is the upper-tail probability.

Things to Be Careful About

  • The mark scheme accepts ±1.751\pm 1.751 seen, but the sign in the equation must be negative to get tt below the mean.
  • Keep the standard deviation as 6.8, not 6.826.8^2.
  • Round the final answer to 3 significant figures: 73.1 minutes.
Techniques used
interpret the tail probability as a lower-tail areafind the inverse Z-score from the normal tablesolve the standardisation equation for the unknown time

The rest of this paper

6 more questions
  • Q2Probability6M
  • Q3Permutations and Combinations5M
  • Q4Permutations and Combinations6M
  • Q5Discrete Random Variables · The Normal Distribution8M
  • Q6Discrete Random Variables9M
  • Q7Representation of Data10M
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