OCR MEI S1 — Question 1 18 marks

Exam BoardOCR MEI
ModuleS1 (Statistics 1)
Marks18
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Mark schemeDownload PDF ↗
TopicHypothesis test of binomial distributions
TypeOne-tailed hypothesis test (lower tail, H₁: p < p₀)
DifficultyStandard +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.
Spec2.04b 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

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.
  1. 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.
  2. Write down suitable null and alternative hypotheses for the test. Give a reason for your choice of alternative hypothesis.
  3. In the case that \(n = 20\) and the number of no-shows in the sample is 1 , carry out the test.
  4. 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.
  5. In the case that \(n \leqslant 18\), explain why there is no point in carrying out the test at the \(5 \%\) level.

Question 1:
Part (ii)
AnswerMarks Guidance
AnswerMarks 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-showsE1 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)
AnswerMarks Guidance
AnswerMarks Guidance
\(P(X \leq 1) = 0.1756 > 5\%\)M1 For probability seen, but not in calculation for point probability
M1 depFor 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 decreasedE1 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)
AnswerMarks Guidance
AnswerMarks 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 decreasedE1 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)
AnswerMarks Guidance
AnswerMarks Guidance
For \(n \leq 18\), \(P(X \leq 0) > 0.05\) so the critical region is emptyE1 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 indepFor 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
# 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]}}