IBDP Maths SL 4.12 Standardization of normal variables AA HL Paper 1- Exam Style Questions- New Syllabus
A survey is conducted in a large office building. It is found that 30% of the office workers weigh less than 62 kg and that 25% of the office workers weigh more than 98 kg.
The weights of the office workers may be modelled by a normal distribution with mean \(\mu\) and standard deviation \(\sigma\).
(a) (i) Determine two simultaneous linear equations satisfied by \(\mu\) and \(\sigma\).
(ii) Find the values of \(\mu\) and \(\sigma\). [6]
(b) Find the probability that an office worker weighs more than 100 kg. [1]
(c) There are elevators in the office building that take the office workers to their offices.
Given that there are 10 workers in a particular elevator,
find the probability that at least four of the workers weigh more than 100 kg. [2]
(d) Given that there are 10 workers in an elevator and at least one weighs more than 100 kg,
find the probability that there are fewer than four workers exceeding 100 kg. [3]
(e) The arrival of the elevators at the ground floor between 08:00 and 09:00 can be modelled by a Poisson distribution. Elevators arrive on average every 36 seconds.
Find the probability that in any half hour period between 08:00 and 09:00 more than 60 elevators arrive at the ground floor. [3]
(f) An elevator can take a maximum of 10 workers. Given that 400 workers arrive in a half hour period independently of each other,
find the probability that there are sufficient elevators to take them to their offices. [3]
▶️ Answer/Explanation
\( \text{P}(W < 62) = 0.3 \), so \( \frac{62 – \mu}{\sigma} = \Phi^{-1}(0.3) \approx -0.524 \)
\( \text{P}(W > 98) = 0.25 \), so \( \text{P}(W < 98) = 0.75 \), and \( \frac{98 – \mu}{\sigma} = \Phi^{-1}(0.75) \approx 0.674 \)
\(\boxed{62 – \mu = -0.524\sigma, 98 – \mu = 0.674\sigma}\)
Solve: \( 62 – \mu = -0.524\sigma \), \( 98 – \mu = 0.674\sigma \)
Subtract: \( 98 – 62 = 0.674\sigma – (-0.524\sigma) \)
\( 36 = 1.198\sigma \), so \( \sigma \approx 30.05 \)
\( \mu = 98 – 0.674 \cdot 30.05 \approx 77.75 \)
\(\boxed{\mu \approx 77.7, \sigma \approx 30.0}\)
\( z = \frac{100 – 77.7}{30.0} \approx 0.743 \)
\( \text{P}(Z > 0.743) \approx 0.229 \)
\(\boxed{0.229}\)
\( X \sim \text{B}(10, 0.229) \)
\( \text{P}(X \geq 4) \approx 0.178 \)
\(\boxed{0.178}\)
\( \text{P}(X \geq 1) \approx 1 – (1 – 0.229)^{10} \approx 0.918 \)
\( \text{P}(1 \leq X \leq 3) \approx 0.741 \)
\( \text{P}(X < 4 | X \geq 1) = \frac{0.741}{0.918} \approx 0.808 \)
\(\boxed{0.808}\)
Average arrivals per 1800s (30 min) = \( \frac{1800}{36} \approx 50 \)
\( L \sim \text{Po}(50) \)
\( \text{P}(L > 60) = 1 – \text{P}(L \leq 60) \approx 0.0722 \)
\(\boxed{0.0722}\)
400 workers need 40 elevators (400 / 10).
\( \text{P}(L \geq 40) = 1 – \text{P}(L \leq 39) \approx 0.935 \)
\(\boxed{0.935}\)
Note: In Section B, accept answers that correctly round to 2 sf.
a.(i) let \(W\) be the weight of a worker and \(W \sim \text{N}(\mu, \sigma^2)\)
\(\text{P}\left(Z < \frac{62 – \mu}{\sigma}\right) = 0.3\) and \(\text{P}\left(Z < \frac{98 – \mu}{\sigma}\right) = 0.75\) (M1)
Note: Award M1 for a correctly shaded and labelled diagram.
\(\frac{62 – \mu}{\sigma} = \Phi^{-1}(0.3) \; ( = -0.524 \ldots )\) and
\(\frac{98 – \mu}{\sigma} = \Phi^{-1}(0.75) \; ( = 0.674 \ldots )\)
or linear equivalents A1A1
Note: Condone equations containing the GDC inverse normal command.
(ii) attempting to solve simultaneously (M1)
\(\mu = 77.7, \sigma = 30.0\) A1A1
[6 marks]
Note: In Section B, accept answers that correctly round to 2 sf.
\(\text{P}(W > 100) = 0.229\) A1
[1 mark]
Note: In Section B, accept answers that correctly round to 2 sf.
let \(X\) represent the number of workers over 100 kg in a lift of ten passengers
\(X \sim \text{B}(10, 0.229 \ldots)\) (M1)
\(\text{P}(X \geq 4) = 0.178\) A1
[2 marks]
Note: In Section B, accept answers that correctly round to 2 sf.
\(\text{P}(X < 4|X \geq 1) = \frac{\text{P}(1 \leq X \leq 3)}{\text{P}(X \geq 1)}\) M1(A1)
Note: Award the M1 for a clear indication of a conditional probability.
\( = 0.808\) A1
[3 marks]
Note: In Section B, accept answers that correctly round to 2 sf.
\(L \sim \text{Po}(50)\) (M1)
\(\text{P}(L > 60) = 1 – \text{P}(L \leq 60)\) (M1)
\( = 0.0722\) A1
[3 marks]
Note: In Section B, accept answers that correctly round to 2 sf.
400 workers require at least 40 elevators (A1)
\(\text{P}(L \geq 40) = 1 – \text{P}(L \leq 39)\) (M1)
\( = 0.935\) A1
[3 marks]
Total [18 marks]