| Exam Board | OCR MEI |
|---|---|
| Module | S1 (Statistics 1) |
| Marks | 18 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Hypothesis test of binomial distributions |
| Type | One-tailed hypothesis test (lower tail, H₁: p < p₀) |
| Difficulty | Standard +0.3 This is a standard S1 hypothesis testing question with routine binomial calculations and straightforward test execution. Parts (i)-(iv) follow textbook procedures with no novel insight required. Part (v) requires understanding of critical regions but is a common exam theme. Slightly easier than average due to clear structure and guided steps. |
| Spec | 2.04b Binomial distribution: as model B(n,p)2.04c Calculate binomial probabilities2.05b Hypothesis test for binomial proportion2.05c Significance levels: one-tail and two-tail |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| Let \(X \sim B(n, p)\) | ||
| Let \(p\) = probability of a 'no-show' (for population) | B1 | Definition of \(p\) must include word probability (or chance or proportion or percentage or likelihood but NOT possibility). Allow \(p\) = P(no-show) for B1 |
| \(H_0: p = 0.15\) | B1 | Allow \(p=15\%\), allow \(\theta\) or \(\pi\) and \(\rho\) but not \(x\). However allow any single symbol if defined. Allow \(H_0 = p=0.15\). Do not allow \(H_0: P(X=x) = 0.15\). Do not allow \(H_0\): \(=0.15\), \(=15\%\), \(P(0.15)\), \(p(0.15)\), \(p(x)=0.15\), \(x=0.15\) (unless \(x\) correctly defined as a probability). Do not allow \(H_0\) and \(H_1\) reversed for B marks but can still get E1 |
| \(H_1: p < 0.15\) | B1 | Do not allow \(H_1: p \leq 0.15\). Allow NH and AH in place of \(H_0\) and \(H_1\) |
| \(H_1\) has this form because the hospital management hopes to reduce the proportion of no-shows | E1 | Allow correct answer even if \(H_1\) wrong. For hypotheses given in words allow Maximum B0B1B1E1. Hypotheses in words must include probability (or chance or proportion or percentage) and the figure 0.15 oe. |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| \(P(X \leq 1) = 0.1756 > 5\%\) | M1 | For probability seen, but not in calculation for point probability |
| M1 dep | For comparison with 5% | |
| So not enough evidence to reject \(H_0\). Not significant. | A1 | Allow accept \(H_0\), or reject \(H_1\). Zero for use of point prob \(P(X=1) = 0.1368\). Do NOT FT wrong \(H_1\) |
| Conclude that there is not enough evidence to indicate that the proportion of no-shows has decreased | E1 dep | Full marks only available if 'not enough evidence to...' mentioned somewhere. Do not allow 'enough evidence to reject \(H_1\)' for final mark but can still get 3/4. Upper end comparison: \(1 - 0.1756 = 0.8244 < 95\%\) gets M2 then A1E1 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| \(6 < 8\) | M1 | For comparison seen. Allow '6 lies in the CR'. Do NOT insist on 'not enough evidence' here |
| So there is sufficient evidence to reject \(H_0\) | A1 | Do not FT wrong \(H_1: p > 0.15\) but may get M1 |
| Conclude that there is enough evidence to indicate that the proportion of no-shows appears to have decreased | E1 | For conclusion in context. In part (iv) ignore any interchanged \(H_0\) and \(H_1\) seen in part (ii) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| For \(n \leq 18\), \(P(X \leq 0) > 0.05\) so the critical region is empty | E1 | E1 also for sight of 0.0536. Condone \(P(X=0) > 0.05\) or all probabilities or values (but not outcomes) in table (for \(n \leq 18\)) \(> 0.05\). Or 'There is no critical region'. For second E1 accept '\(H_0\) would always be accepted' |
| E1 indep | For critical region is empty. Do NOT FT wrong \(H_1\). Use professional judgement - allow other convincing answers |
# Question 1:
## Part (ii)
| Answer | Marks | Guidance |
|--------|-------|----------|
| Let $X \sim B(n, p)$ | | |
| Let $p$ = probability of a 'no-show' (for population) | B1 | Definition of $p$ must include word probability (or chance or proportion or percentage or likelihood but NOT possibility). Allow $p$ = P(no-show) for B1 |
| $H_0: p = 0.15$ | B1 | Allow $p=15\%$, allow $\theta$ or $\pi$ and $\rho$ but not $x$. However allow any single symbol if defined. Allow $H_0 = p=0.15$. Do not allow $H_0: P(X=x) = 0.15$. Do not allow $H_0$: $=0.15$, $=15\%$, $P(0.15)$, $p(0.15)$, $p(x)=0.15$, $x=0.15$ (unless $x$ correctly defined as a probability). Do not allow $H_0$ and $H_1$ reversed for B marks but can still get E1 |
| $H_1: p < 0.15$ | B1 | Do not allow $H_1: p \leq 0.15$. Allow NH and AH in place of $H_0$ and $H_1$ |
| $H_1$ has this form because the hospital management hopes to reduce the proportion of no-shows | E1 | Allow correct answer even if $H_1$ wrong. For hypotheses given in words allow Maximum B0B1B1E1. Hypotheses in words must include probability (or chance or proportion or percentage) and the figure 0.15 oe. |
## Part (iii)
| Answer | Marks | Guidance |
|--------|-------|----------|
| $P(X \leq 1) = 0.1756 > 5\%$ | M1 | For probability seen, but not in calculation for point probability |
| | M1 dep | For comparison with 5% |
| So not enough evidence to reject $H_0$. Not significant. | A1 | Allow accept $H_0$, or reject $H_1$. Zero for use of point prob $P(X=1) = 0.1368$. Do NOT FT wrong $H_1$ |
| Conclude that there is not enough evidence to indicate that the proportion of no-shows has decreased | E1 dep | Full marks only available if 'not enough evidence to...' mentioned somewhere. Do not allow 'enough evidence to reject $H_1$' for final mark but can still get 3/4. Upper end comparison: $1 - 0.1756 = 0.8244 < 95\%$ gets M2 then A1E1 |
**Note: use of critical region method scores**
- M1 for region $\{0\}$
- M1 for 1 does not lie in critical region, then A1 E1 as per scheme
**Line diagram method:**
- M1 for squiggly line between 0 and 1 with arrow pointing to left
- M1 for 0.0388 seen on diagram from squiggly line or from 0
- A1E1 for correct conclusion
**Bar chart method:**
- M1 for line clearly on boundary between 0 and 1 with arrow pointing to left
- M1 for 0.0388 seen on diagram from boundary line or from 0
- A1E1 for correct conclusion
## Part (iv)
| Answer | Marks | Guidance |
|--------|-------|----------|
| $6 < 8$ | M1 | For comparison seen. Allow '6 lies in the CR'. Do NOT insist on 'not enough evidence' here |
| So there is sufficient evidence to reject $H_0$ | A1 | Do not FT wrong $H_1: p > 0.15$ but may get M1 |
| Conclude that there is enough evidence to indicate that the proportion of no-shows appears to have decreased | E1 | For conclusion in context. In part (iv) ignore any interchanged $H_0$ and $H_1$ seen in part (ii) |
**Total for part (iv): 3 marks**
## Part (v)
| Answer | Marks | Guidance |
|--------|-------|----------|
| For $n \leq 18$, $P(X \leq 0) > 0.05$ so the critical region is empty | E1 | E1 also for sight of 0.0536. Condone $P(X=0) > 0.05$ or all probabilities or values (but not outcomes) in table (for $n \leq 18$) $> 0.05$. Or 'There is no critical region'. For second E1 accept '$H_0$ would always be accepted' |
| | E1 indep | For critical region is empty. Do NOT FT wrong $H_1$. Use professional judgement - allow other convincing answers |
**Total for part (v): 2 marks**
**TOTAL: 18 marks**
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1 Any patient who fails to turn up for an outpatient appointment at a hospital is described as a 'no-show'. At a particular hospital, on average $15 \%$ of patients are no-shows. A random sample of 20 patients who have outpatient appointments is selected.
\begin{enumerate}[label=(\roman*)]
\item Find the probability that\\
(A) there is exactly 1 no-show in the sample,\\
(B) there are at least 2 no-shows in the sample.
The hospital management introduces a policy of telephoning patients before appointments. It is hoped that this will reduce the proportion of no-shows. In order to check this, a random sample of $n$ patients is selected. The number of no-shows in the sample is recorded and a hypothesis test is carried out at the 5\% level.
\item Write down suitable null and alternative hypotheses for the test. Give a reason for your choice of alternative hypothesis.
\item In the case that $n = 20$ and the number of no-shows in the sample is 1 , carry out the test.
\item In another case, where $n$ is large, the number of no-shows in the sample is 6 and the critical value for the test is 8 . Complete the test.
\item In the case that $n \leqslant 18$, explain why there is no point in carrying out the test at the $5 \%$ level.
\end{enumerate}
\hfill \mbox{\textit{OCR MEI S1 Q1 [18]}}