| Exam Board | OCR MEI |
|---|---|
| Module | S1 (Statistics 1) |
| Marks | 16 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Hypothesis test of binomial distributions |
| Type | One-tailed test critical region |
| Difficulty | Standard +0.3 This is a straightforward one-tailed binomial hypothesis test with standard parts: calculating binomial probabilities, setting up hypotheses, finding a critical region at 5% level, and reaching a conclusion. All steps are routine S1 procedures requiring no novel insight, though the multi-part structure and critical region calculation make it slightly above average difficulty for typical A-level questions. |
| 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 |
|---|---|---|
| \(P(\text{4 smokers}) = \binom{20}{4} \times 0.25^4 \times 0.75^{16} = 0.1897\) | M1, M1, A1 [3] | M1 for \(0.25^4 \times 0.75^{16}\); M1 for \(\binom{20}{4} \times p^4 \times q^{16}\) with \(p+q=1\); allow 0.19 or better. OR from tables: \(0.4148 - 0.2252 = 0.1896\) |
| Answer | Marks | Guidance |
|---|---|---|
| \(P(3 \leq X \leq 6) = 0.7858 - 0.0913 = 0.6945\) | M1, M1, A1 [3] | M1 for \(P(X \leq 6) = 0.7858\); M1 for their \(0.7858 - 0.0913\); accept 0.69 or better. Alternative: \(P(X=3)+P(X=4)+P(X=5)+P(X=6) = 0.1339+0.1897+0.2023+0.1686 = 0.6945\); M1 for three correct terms. Also \(P(X \geq 3) - P(X > 6) = 0.9087 - 0.2142 = 0.6945\) gets M1 M1 A1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(E(X) = np = 20 \times 0.25 = 5\) | B1 [1] | CAO |
| Answer | Marks | Guidance |
|---|---|---|
| \(H_1: p < 0.25\) | B1, B1, B1 [3] | B1 for definition of \(p\) in context; B1 for \(H_0\); B1 for \(H_1\). Allow complementary probabilities. Definition must include word probability/chance/proportion/percentage (NOT possibility). Do not allow \(H_1: p \leq 0.25\). Allow \(p=25\%\), allow \(\theta\) or \(\pi\) and \(\rho\) but not \(x\) unless defined. |
| Answer | Marks | Guidance |
|---|---|---|
| \(H_1\) has this form as the programme aims to reduce the proportion of smokers. | E1 [1] | Allow 'number'; allow 'aims for a reduction' or similar. E0 if \(H_1\) upper tail or two tailed. |
| Answer | Marks | Guidance |
|---|---|---|
| So critical region is \(\{0, 1\}\) | B1, B1, M1, A1 [4] | B1 for \(P(X \leq 1) = 0.0243\); B1 for \(P(X \leq 2) = 0.0913\); M1 for at least one comparison with 5%; A1 CAO for critical region, dep on M1 and at least one B1. NB use of point probabilities gets B0M0A0. Allow any form of statement of CR e.g. \(X \leq 1\), \(X < 2\), annotated number line etc. |
| Answer | Marks | Guidance |
|---|---|---|
| So there is not enough evidence to reject the null hypothesis and we conclude that there is not enough evidence to suggest that the percentage of smokers has decreased. | E1dep, E1dep [2] | E1dep for 3 not in CR or for not significant or reject \(H_1\); E1dep for conclusion in context. Condone omission of 'not enough evidence' in this case. Dep on correct CR (correctly obtained). E0E0 for \(P(X=3)\) not in CR. Alternative: \(P(X \leq 3) = 0.2252 > 5\%\) so not sig etc. gets E2 for complete method but E0 otherwise. |
## Question 3:
### Part (i)(A)
$X \sim B(20, 0.25)$
$P(\text{4 smokers}) = \binom{20}{4} \times 0.25^4 \times 0.75^{16} = 0.1897$ | M1, M1, A1 [3] | M1 for $0.25^4 \times 0.75^{16}$; M1 for $\binom{20}{4} \times p^4 \times q^{16}$ with $p+q=1$; allow 0.19 or better. OR from tables: $0.4148 - 0.2252 = 0.1896$ | M2, A1 | For $0.4148 - 0.2252$; 0.189 gets A0
---
### Part (i)(B)
$P(3 \leq X \leq 6) = 0.7858 - 0.0913 = 0.6945$ | M1, M1, A1 [3] | M1 for $P(X \leq 6) = 0.7858$; M1 for their $0.7858 - 0.0913$; accept 0.69 or better. Alternative: $P(X=3)+P(X=4)+P(X=5)+P(X=6) = 0.1339+0.1897+0.2023+0.1686 = 0.6945$; M1 for three correct terms. Also $P(X \geq 3) - P(X > 6) = 0.9087 - 0.2142 = 0.6945$ gets M1 M1 A1
---
### Part (i)(C)
$E(X) = np = 20 \times 0.25 = 5$ | B1 [1] | CAO
---
### Part (ii)(A)
Let $p$ = probability that a randomly selected student is a smoker
$H_0: p = 0.25$
$H_1: p < 0.25$ | B1, B1, B1 [3] | B1 for definition of $p$ in context; B1 for $H_0$; B1 for $H_1$. Allow complementary probabilities. Definition must include word probability/chance/proportion/percentage (NOT possibility). Do not allow $H_1: p \leq 0.25$. Allow $p=25\%$, allow $\theta$ or $\pi$ and $\rho$ but not $x$ unless defined.
---
### Part (ii)(B)
$H_1$ has this form as the programme aims to reduce the **proportion** of smokers. | E1 [1] | Allow 'number'; allow 'aims for a reduction' or similar. E0 if $H_1$ upper tail or two tailed.
---
### Part (iii)
$P(X \leq 1) = 0.0243 < 5\%$
$P(X \leq 2) = 0.0913 > 5\%$
So critical region is $\{0, 1\}$ | B1, B1, M1, A1 [4] | B1 for $P(X \leq 1) = 0.0243$; B1 for $P(X \leq 2) = 0.0913$; M1 for at least one comparison with 5%; A1 CAO for critical region, dep on M1 and at least one B1. NB use of point probabilities gets B0M0A0. Allow any form of statement of CR e.g. $X \leq 1$, $X < 2$, annotated number line etc.
---
### Part (iv)
3 does not lie in the critical region, so not significant.
So there is not enough evidence to reject the null hypothesis and we conclude that there is not enough evidence to suggest that the percentage of smokers has decreased. | E1dep, E1dep [2] | E1dep for 3 not in CR or for not significant or reject $H_1$; E1dep for conclusion in context. Condone omission of 'not enough evidence' in this case. Dep on correct CR (correctly obtained). E0E0 for $P(X=3)$ not in CR. Alternative: $P(X \leq 3) = 0.2252 > 5\%$ so not sig etc. gets E2 for complete method but E0 otherwise.
3 It is known that $25 \%$ of students in a particular city are smokers. A random sample of 20 of the students is selected.
\begin{enumerate}[label=(\roman*)]
\item (A) Find the probability that there are exactly 4 smokers in the sample.\\
(B) Find the probability that there are at least 3 but no more than 6 smokers in the sample\\
(C) Write down the expected number of smokers in the sample.
A new health education programme is introduced. This programme aims to reduce the percentage of students in this city who are smokers. After the programme has been running for a year, it is decided to carry out a hypothesis test to assess the effectiveness of the programme. A random sample of 20 students is selected.
\item (A) Write down suitable null and alternative hypotheses for the test.\\
(B) Explain why the alternative hypothesis has the form that it does
\item Find the critical region for the test at the $5 \%$ level, showing all of your calculations.
\item In fact there are 3 smokers in the sample. Complete the test, stating your conclusion clearly.
\end{enumerate}
\hfill \mbox{\textit{OCR MEI S1 Q3 [16]}}