| Exam Board | CAIE |
|---|---|
| Module | S1 (Statistics 1) |
| Year | 2024 |
| Session | June |
| Marks | 8 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Normal Distribution |
| Type | Direct comparison of probabilities |
| Difficulty | Standard +0.3 Part (a) is a routine standardization and table lookup (z = 1.16). Part (b) requires setting up two simultaneous equations from inverse normal values (z ≈ -0.44 and z ≈ 0.67), then solving for μ and σ. This is a standard S1 technique but requires more steps and algebraic manipulation than typical single-probability questions, placing it slightly above average difficulty. |
| Spec | 2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| \(P\!\left(Z > \frac{1.93-1.64}{0.25}\right) = P(Z > 1.16)\) | M1 | Using \(\pm\) standardisation formula with 1.93, 1.64 and 0.25 substituted, not \(\sigma^2\), not \(\sqrt{\sigma}\), no continuity correction |
| \(1 - 0.8770\) | M1 | Appropriate area \(\Phi\) resulting from a standardisation, from final process, must be probability |
| \(0.123\) | A1 | \(0.123 \leqslant p < 0.12303\). If M0 M0, SC B1 if no standardisation shown |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| \(\frac{1.56-\mu}{\sigma} = -0.44\) | B1 | \(-0.441 < z_1 \leqslant -0.439\) or \(0.439 \leqslant z_1 < 0.441\) seen |
| \(\frac{1.86-\mu}{\sigma} = 0.674\) | B1 | \(z_2 = 0.674\) or \(z_2 = -0.674\) seen, CAO, critical value |
| (simultaneous equations) | M1 | Use of \(\pm\)standardisation formula once with \(\mu\), \(\sigma\) equating to a \(z\)-value (not 0.33, 0.67, 0.25, 0.75, 0.6293, 0.5987, 0.7486, 0.7734, \((1-0.44)\), \((1-0.674)\)). Condone continuity correct \(\pm0.005\), not \(\sigma^2, \sqrt{\sigma}\) |
| Solve obtaining \(\mu\) and \(\sigma\): \(\mu = 1.68,\ \sigma = 0.269\) | M1, A1 | Solve two equations in \(\mu\) and \(\sigma\). AWRT \(\mu=1.68,\ \sigma=0.269\). If one or both M marks not awarded, SC B1 for both correct |
# Question 2:
## Part 2(a):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $P\!\left(Z > \frac{1.93-1.64}{0.25}\right) = P(Z > 1.16)$ | M1 | Using $\pm$ standardisation formula with 1.93, 1.64 and 0.25 substituted, not $\sigma^2$, not $\sqrt{\sigma}$, no continuity correction |
| $1 - 0.8770$ | M1 | Appropriate area $\Phi$ resulting from a standardisation, from final process, must be probability |
| $0.123$ | A1 | $0.123 \leqslant p < 0.12303$. If M0 M0, **SC B1** if no standardisation shown |
## Part 2(b):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $\frac{1.56-\mu}{\sigma} = -0.44$ | B1 | $-0.441 < z_1 \leqslant -0.439$ or $0.439 \leqslant z_1 < 0.441$ seen |
| $\frac{1.86-\mu}{\sigma} = 0.674$ | B1 | $z_2 = 0.674$ or $z_2 = -0.674$ seen, CAO, critical value |
| (simultaneous equations) | M1 | Use of $\pm$standardisation formula once with $\mu$, $\sigma$ equating to a $z$-value (not 0.33, 0.67, 0.25, 0.75, 0.6293, 0.5987, 0.7486, 0.7734, $(1-0.44)$, $(1-0.674)$). Condone continuity correct $\pm0.005$, not $\sigma^2, \sqrt{\sigma}$ |
| Solve obtaining $\mu$ and $\sigma$: $\mu = 1.68,\ \sigma = 0.269$ | M1, A1 | Solve two equations in $\mu$ and $\sigma$. AWRT $\mu=1.68,\ \sigma=0.269$. If one or both M marks not awarded, **SC B1** for both correct |
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2 In a certain country, the heights of the adult population are normally distributed with mean 1.64 m and standard deviation 0.25 m .
\begin{enumerate}[label=(\alph*)]
\item Find the probability that an adult chosen at random from this country will have height greater than 1.93 m .\\
\includegraphics[max width=\textwidth, alt={}, center]{9b21cc0f-b043-4251-8aa9-cb1e5c2fb5d0-04_2716_35_143_2012}\\
\includegraphics[max width=\textwidth, alt={}, center]{9b21cc0f-b043-4251-8aa9-cb1e5c2fb5d0-05_2724_35_136_20}
In another country, the heights of the adult population are also normally distributed. $33 \%$ of the adult population have height less than $1.56 \mathrm {~m} .25 \%$ of the adult population have height greater than 1.86 m .
\item Find the mean and the standard deviation of this distribution.
\end{enumerate}
\hfill \mbox{\textit{CAIE S1 2024 Q2 [8]}}