| Exam Board | AQA |
|---|---|
| Module | S1 (Statistics 1) |
| Year | 2012 |
| Session | January |
| Marks | 14 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Binomial Distribution |
| Type | Probability of range of values |
| Difficulty | Moderate -0.3 This is a straightforward application of binomial distribution with standard calculations: direct use of binomial probability formula/tables for parts (a)(i)-(iii), routine mean/SD formulas for part (b), and basic comparison of sample statistics to theoretical values in part (c). All techniques are standard S1 content requiring no novel insight, though the multi-part structure and cumulative probability calculations place it slightly below average difficulty. |
| Spec | 2.04b Binomial distribution: as model B(n,p)2.04c Calculate binomial probabilities2.04d Normal approximation to binomial |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Marks | Guidance |
| \(U \sim B(40, 0.15)\) | M1 | Used somewhere in (a) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Marks | Guidance |
| \(P(U = 6) = 0.6067 - 0.4325\) or \(= \binom{40}{6}(0.15)^6(0.85)^{34}\) | M1 | Accept 3 dp rounding or truncation. Can be implied by a correct answer |
| \(= 0.174\) | A1 | AWRT \((0.1742)\) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Marks | Guidance |
| \(P(U \leq 5) = 0.432\) to \(0.433\) | B1 | AWFW \((0.4325)\) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Marks | Guidance |
| \(P(5 < U < 10) = 0.9328\) or \(0.9701\) \((p_1)\) | M1 | Accept 3 dp rounding or truncation but allow \(0.97\). \(p_2 - p_1 \Rightarrow\) M0 M0 A0; \((1-p_2)-p_1 \Rightarrow\) M0 M0 A0; \(p_1-(1-p_2) \Rightarrow\) M1 M0 A0; \((1-p_2)-(1-p_1) \Rightarrow\) M1 M1 (A1) only providing result \(> 0\) |
| MINUS \(0.4325\) or \(0.2633\) \((p_2)\) | M1 | Accept 3 dp rounding or truncation |
| \(= 0.5(00)\) to \(0.501\) | A1 | AWFW \((0.5003)\) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Marks | Guidance |
| Mean or \(\mu = 32 \times 0.15 = 4.8\) | B1 | CAO |
| \((V\) or \(\sigma^2 =)\ 32 \times 0.15 \times 0.85\) or \((SD\) or \(\sigma =)\ \sqrt{32 \times 0.15 \times 0.85}\) | M1 | Either numerical expression; ignore terminology. May be implied by \(4.08\) CAO seen or \(2.02\) AWRT seen |
| \((SD\) or \(\sigma) = 2.02\) | A1 | AWRT \((2.0199)\). Do not award if labelled \(V\) or \(\sigma^2\) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Marks | Guidance |
| Mean \(= 7.7\) | B1 | CAO \(\left(\sum x = 77\right)\) |
| \(SD = 1.26\) to \(1.34\) | B1 | AWFW \(\left(\sum x^2 = 609\right)\) |
| (Sample) mean is bigger/greater/different or \(7.7/32 = 0.24 > 0.15\) and (Sample) SD is smaller/less/different | Bdep1 | Both; dependent on all previous 5 marks of B1 M1 A1 B1 B1. Can be scored for incorrect (b) re-done correctly in (c). Means & SDs different \(\Rightarrow\) Bdep0 |
| So model appears unsuitable | Bdep1 | OE; dependent on Bdep1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(B(40, 0.15)\) expressions stated for at least 3 terms within \(5 \leq U \leq 10\) gives probability \(= 0.5(00)\) to \(0.501\) | M2, A1 | Can be implied by a correct answer; AWFW (0.5003) |
| \(u\) | (5) | 6 |
| \(P(U=u)\) | (0.1692) | 0.1742 |
Total: 3 marks
# Question 4:
## Part (a)
| Answer/Working | Marks | Guidance |
|---|---|---|
| $U \sim B(40, 0.15)$ | M1 | Used somewhere in (a) |
## Part (a)(i)
| Answer/Working | Marks | Guidance |
|---|---|---|
| $P(U = 6) = 0.6067 - 0.4325$ or $= \binom{40}{6}(0.15)^6(0.85)^{34}$ | M1 | Accept 3 dp rounding or truncation. Can be implied by a correct answer |
| $= 0.174$ | A1 | AWRT $(0.1742)$ |
## Part (a)(ii)
| Answer/Working | Marks | Guidance |
|---|---|---|
| $P(U \leq 5) = 0.432$ to $0.433$ | B1 | AWFW $(0.4325)$ |
## Part (a)(iii)
| Answer/Working | Marks | Guidance |
|---|---|---|
| $P(5 < U < 10) = 0.9328$ or $0.9701$ $(p_1)$ | M1 | Accept 3 dp rounding or truncation but allow $0.97$. $p_2 - p_1 \Rightarrow$ M0 M0 A0; $(1-p_2)-p_1 \Rightarrow$ M0 M0 A0; $p_1-(1-p_2) \Rightarrow$ M1 M0 A0; $(1-p_2)-(1-p_1) \Rightarrow$ M1 M1 (A1) only providing result $> 0$ |
| MINUS $0.4325$ or $0.2633$ $(p_2)$ | M1 | Accept 3 dp rounding or truncation |
| $= 0.5(00)$ to $0.501$ | A1 | AWFW $(0.5003)$ |
## Part (b)
| Answer/Working | Marks | Guidance |
|---|---|---|
| Mean or $\mu = 32 \times 0.15 = 4.8$ | B1 | CAO |
| $(V$ or $\sigma^2 =)\ 32 \times 0.15 \times 0.85$ or $(SD$ or $\sigma =)\ \sqrt{32 \times 0.15 \times 0.85}$ | M1 | Either numerical expression; ignore terminology. May be implied by $4.08$ CAO seen or $2.02$ AWRT seen |
| $(SD$ or $\sigma) = 2.02$ | A1 | AWRT $(2.0199)$. Do not award if labelled $V$ or $\sigma^2$ |
## Part (c)
| Answer/Working | Marks | Guidance |
|---|---|---|
| Mean $= 7.7$ | B1 | CAO $\left(\sum x = 77\right)$ |
| $SD = 1.26$ to $1.34$ | B1 | AWFW $\left(\sum x^2 = 609\right)$ |
| (Sample) mean is bigger/greater/different or $7.7/32 = 0.24 > 0.15$ and (Sample) SD is smaller/less/different | Bdep1 | Both; dependent on all previous 5 marks of B1 M1 A1 B1 B1. Can be scored for incorrect (b) re-done correctly in (c). Means & SDs different $\Rightarrow$ Bdep0 |
| So model appears unsuitable | Bdep1 | OE; dependent on Bdep1 |
# Question 4:
## Part (a)(iii):
$B(40, 0.15)$ expressions stated for at least 3 terms within $5 \leq U \leq 10$ gives probability $= 0.5(00)$ to $0.501$ | M2, A1 | Can be implied by a correct answer; AWFW (0.5003)
| $u$ | (5) | 6 | 7 | 8 | 9 | (10) |
|---|---|---|---|---|---|---|
| $P(U=u)$ | (0.1692) | 0.1742 | 0.1492 | 0.1087 | 0.0682 | (0.0373) |
Total: 3 marks
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4 The records at a passport office show that, on average, 15 per cent of photographs that accompany applications for passport renewals are unusable.
Assume that exactly one photograph accompanies each application.
\begin{enumerate}[label=(\alph*)]
\item Determine the probability that in a random sample of 40 applications:
\begin{enumerate}[label=(\roman*)]
\item exactly 6 photographs are unusable;
\item at most 5 photographs are unusable;
\item more than 5 but fewer than 10 photographs are unusable.
\end{enumerate}\item Calculate the mean and the standard deviation for the number of photographs that are unusable in a random sample of $\mathbf { 3 2 }$ applications.
\item Mr Stickler processes 32 applications each day. His records for the previous 10 days show that the numbers of photographs that he deemed unusable were
$$\begin{array} { l l l l l l l l l l }
8 & 6 & 10 & 7 & 9 & 7 & 8 & 9 & 6 & 7
\end{array}$$
By calculating the mean and the standard deviation of these values, comment, with reasons, on the suitability of the $\mathrm { B } ( 32,0.15 )$ model for the number of photographs deemed unusable each day by Mr Stickler.
\end{enumerate}
\hfill \mbox{\textit{AQA S1 2012 Q4 [14]}}