CAIE S1 2012 November — Question 4 9 marks

Exam BoardCAIE
ModuleS1 (Statistics 1)
Year2012
SessionNovember
Marks9
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicNormal Distribution
TypeLinear relationship μ = kσ
DifficultyStandard +0.8 This question requires understanding the relationship μ = 4σ, using inverse normal tables to find z-scores, solving simultaneous equations, then applying binomial approximation to normal distribution. It combines multiple statistical concepts with algebraic manipulation, making it moderately harder than a standard normal distribution question but still within typical A-level scope.
Spec2.04b Binomial distribution: as model B(n,p)2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation

4 The mean of a certain normally distributed variable is four times the standard deviation. The probability that a randomly chosen value is greater than 5 is 0.15 .
  1. Find the mean and standard deviation.
  2. 200 values of the variable are chosen at random. Find the probability that at least 160 of these values are less than 5 .

Question 4:
(i)
AnswerMarks Guidance
AnswerMark Guidance
\(z = 1.036\) or \(1.037\)B1 \(\pm 1.036\) or \(\pm 1.037\) seen
\(1.036 = \frac{5-4s}{s}\)B1 \(\frac{5-4\sigma}{\sigma}\) seen or \(\frac{5-\mu}{\mu/4}\) oe
\(s = 0.993\)M1 One variable and sensible solving attempt, z-value not necessary
\(\mu = 3.97\)A1 [4] Both answers correct
(ii)
AnswerMarks Guidance
AnswerMark Guidance
\(p = 0.85\), \(\mu = 200 \times 0.85 = 170\)B1 \(200 \times 0.85\ (170)\) and \(200 \times 0.85 \times 0.15\ (25.5)\) seen
\(\text{var} = 200 \times 0.85 \times 0.15 = 25.5\)M1 Standardising, sq rt and must have used 200
\(P(\text{at least } 160) = P\!\left(z > \frac{159.5-170}{\sqrt{25.5}}\right)\)M1 Continuity correction 159.5 or 160.5
\(= P(z > -2.079)\)M1 Correct area (\(> 0.5\)) must have used 200
\(= 0.981\)A1 [5] Correct value
## Question 4:

**(i)**
| Answer | Mark | Guidance |
|--------|------|----------|
| $z = 1.036$ or $1.037$ | B1 | $\pm 1.036$ or $\pm 1.037$ seen |
| $1.036 = \frac{5-4s}{s}$ | B1 | $\frac{5-4\sigma}{\sigma}$ seen or $\frac{5-\mu}{\mu/4}$ oe |
| $s = 0.993$ | M1 | One variable and sensible solving attempt, z-value not necessary |
| $\mu = 3.97$ | A1 [4] | Both answers correct |

**(ii)**
| Answer | Mark | Guidance |
|--------|------|----------|
| $p = 0.85$, $\mu = 200 \times 0.85 = 170$ | B1 | $200 \times 0.85\ (170)$ and $200 \times 0.85 \times 0.15\ (25.5)$ seen |
| $\text{var} = 200 \times 0.85 \times 0.15 = 25.5$ | M1 | Standardising, sq rt and must have used 200 |
| $P(\text{at least } 160) = P\!\left(z > \frac{159.5-170}{\sqrt{25.5}}\right)$ | M1 | Continuity correction 159.5 or 160.5 |
| $= P(z > -2.079)$ | M1 | Correct area ($> 0.5$) must have used 200 |
| $= 0.981$ | A1 [5] | Correct value |

---
4 The mean of a certain normally distributed variable is four times the standard deviation. The probability that a randomly chosen value is greater than 5 is 0.15 .\\
(i) Find the mean and standard deviation.\\
(ii) 200 values of the variable are chosen at random. Find the probability that at least 160 of these values are less than 5 .

\hfill \mbox{\textit{CAIE S1 2012 Q4 [9]}}