Pre-U Pre-U 9794/1 Specimen — Question 14 14 marks

Exam BoardPre-U
ModulePre-U 9794/1 (Pre-U Mathematics Paper 1)
SessionSpecimen
Marks14
TopicNormal Distribution
TypeMixed calculations with boundaries
DifficultyModerate -0.3 This is a straightforward multi-part question covering standard normal distribution and binomial probability calculations. Parts (i)-(iii) require routine z-score calculations and table lookups, (iv) is a standard binomial probability, and (v) is a simple expectation calculation. While it has multiple parts, each component is a textbook exercise requiring only direct application of formulas without problem-solving or novel insight.
Spec2.04c Calculate binomial probabilities2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation

14 The maximum pressure exerted by the blood on the arteries in a population of elderly male patients may be modelled by a random variable having a normal distribution with a mean of 150 and standard deviation 15, measured in suitable units.
  1. Find the probability that the maximum pressure for a randomly chosen patient is more than 160.
  2. If the maximum pressure is found to be \(t\) or more, the patient must be referred to a consultant. If \(5 \%\) of the patients are referred to a consultant, find the value of \(t\).
  3. Find the percentage of patients whose maximum pressure is between 130 and 160 . The probability that a randomly chosen patient attending a doctor's surgery has their blood pressure measured is 0.4 .
  4. Find the probability that of 18 people attending a doctor's surgery more than 8 have their blood pressure measured, assuming that each measurement is random and independent of any other.
  5. If 450 patients visited the surgery in a week, find the expected number of patients whose blood pressure would be measured.

(i) \(z = 0.667\) B1
\(P(t > 160) = 1 - \Phi(\text{their } z)\) M1
\(= 1 - 0.7477 = 0.252\) A1 [3]
(ii) \(\Phi^{-1}(0.95) = 1.645\) B1
their \(1.645 = \frac{x - 150}{15}\) M1
\(175\) A1 [3]
(iii) \(Z\) values of \(-1.333\) and \(0.667\) B1
Obtain \(1 - \Phi(1.333) = 0.0913\) B1
Attempt \(\Phi(0.667)\) and subtraction \((= 0.7477 - 0.0913)\) M1
\((0.6564)\) \(65.6\%\) cao A1 [4]
(iv) Use of Binomial distribution with \(p = 0.4\), \(q = 0.6\), \(n = 18\) M1
\(P(X > 8) = 1 - P(X \leq 8)\) M1
\(= 1 - 0.7368 = 0.263\) A1 [3]
(v) \(180\) B1 [1]
**(i)** $z = 0.667$ B1

$P(t > 160) = 1 - \Phi(\text{their } z)$ M1

$= 1 - 0.7477 = 0.252$ A1 **[3]**

**(ii)** $\Phi^{-1}(0.95) = 1.645$ B1

their $1.645 = \frac{x - 150}{15}$ M1

$175$ A1 **[3]**

**(iii)** $Z$ values of $-1.333$ and $0.667$ B1

Obtain $1 - \Phi(1.333) = 0.0913$ B1

Attempt $\Phi(0.667)$ and subtraction $(= 0.7477 - 0.0913)$ M1

$(0.6564)$ $65.6\%$ **cao** A1 **[4]**

**(iv)** Use of Binomial distribution with $p = 0.4$, $q = 0.6$, $n = 18$ M1

$P(X > 8) = 1 - P(X \leq 8)$ M1

$= 1 - 0.7368 = 0.263$ A1 **[3]**

**(v)** $180$ B1 **[1]**
14 The maximum pressure exerted by the blood on the arteries in a population of elderly male patients may be modelled by a random variable having a normal distribution with a mean of 150 and standard deviation 15, measured in suitable units.\\
(i) Find the probability that the maximum pressure for a randomly chosen patient is more than 160.\\
(ii) If the maximum pressure is found to be $t$ or more, the patient must be referred to a consultant. If $5 \%$ of the patients are referred to a consultant, find the value of $t$.\\
(iii) Find the percentage of patients whose maximum pressure is between 130 and 160 .

The probability that a randomly chosen patient attending a doctor's surgery has their blood pressure measured is 0.4 .\\
(iv) Find the probability that of 18 people attending a doctor's surgery more than 8 have their blood pressure measured, assuming that each measurement is random and independent of any other.\\
(v) If 450 patients visited the surgery in a week, find the expected number of patients whose blood pressure would be measured.

\hfill \mbox{\textit{Pre-U Pre-U 9794/1  Q14 [14]}}