AQA S1 2012 January — Question 4 14 marks

Exam BoardAQA
ModuleS1 (Statistics 1)
Year2012
SessionJanuary
Marks14
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicBinomial Distribution
TypeProbability of range of values
DifficultyModerate -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.
Spec2.04b Binomial distribution: as model B(n,p)2.04c Calculate binomial probabilities2.04d Normal approximation to binomial

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.
  1. Determine the probability that in a random sample of 40 applications:
    1. exactly 6 photographs are unusable;
    2. at most 5 photographs are unusable;
    3. more than 5 but fewer than 10 photographs are unusable.
  2. Calculate the mean and the standard deviation for the number of photographs that are unusable in a random sample of \(\mathbf { 3 2 }\) applications.
  3. 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.

Question 4:
Part (a)
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(U \sim B(40, 0.15)\)M1 Used somewhere in (a)
Part (a)(i)
AnswerMarks Guidance
Answer/WorkingMarks 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)
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(P(U \leq 5) = 0.432\) to \(0.433\)B1 AWFW \((0.4325)\)
Part (a)(iii)
AnswerMarks Guidance
Answer/WorkingMarks 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)
AnswerMarks Guidance
Answer/WorkingMarks 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)
AnswerMarks Guidance
Answer/WorkingMarks 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/differentBdep1 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 unsuitableBdep1 OE; dependent on Bdep1
Question 4:
Part (a)(iii):
AnswerMarks 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]}}