AQA S2 2016 June — Question 3 13 marks

Exam BoardAQA
ModuleS2 (Statistics 2)
Year2016
SessionJune
Marks13
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicDiscrete Probability Distributions
TypeCalculate Var(X) from table
DifficultyModerate -0.8 This is a straightforward S2 probability distribution question requiring only standard calculations: summing probabilities, computing mean/variance from a discrete distribution, and applying linear transformations. Part (d) tests conceptual understanding but is accessible. All techniques are routine textbook exercises with no problem-solving insight required.
Spec5.02a Discrete probability distributions: general5.02b Expectation and variance: discrete random variables5.02c Linear coding: effects on mean and variance

Members of a library may borrow up to 6 books. Past experience has shown that the number of books borrowed, \(X\), follows the distribution shown in the table.
\(x\)0123456
P(X = x)00.190.260.200.130.070.15
  1. Find the probability that a member borrows more than 3 books. [1 mark]
  2. Assume that the numbers of books borrowed by two particular members are independent. Find the probability that one of these members borrows more than 3 books and the other borrows fewer than 3 books. [3 marks]
  3. Show that the mean of \(X\) is 3.08, and calculate the variance of \(X\). [4 marks]
  4. One of the library staff notices that the values of the mean and the variance of \(X\) are similar and suggests that a Poisson distribution could be used to model \(X\). Without further calculations, give two reasons why a Poisson distribution would not be suitable to model \(X\). [2 marks]
  5. The library introduces a fee of 10 pence for each book borrowed. Assuming that the probabilities do not change, calculate:
    1. the mean amount that will be paid by a member;
    2. the standard deviation of the amount that will be paid by a member.
    [3 marks]

AnswerMarks Guidance
PartAnswer/Working Marks
(a)0.35 B1
Total: 1
(b)\(P(< 3) = 0.45\) B1
'0.35' × '0.45' (= 0.1575) × 2 = 0.315M1 A1 Their 0.35 and 0.45; CAO or equivalent fraction or %
Total: 3
(c)Mean = \(1 \times 0.19 + 2 \times 0.26 + 3 \times 0.20 + 4 \times 0.13 + 5 \times 0.07 + 6 \times 0.15\) M1
\(= 0.19 + 0.52 + 0.60 + 0.52 + 0.35 + 0.90 = 3.08\)A1 CAO. AG.
Variance = \(1^2 \times 0.19 + 2^2 \times 0.26 + 3^2 \times 0.20 + 4^2 \times 0.13 + 5^2 \times 0.07 + 6^2 \times 0.15 - 3.08^2\)M1 PI; AWFW 2.77 to 2.78
\(= 2.77(36)\)A1
Total: 4
(d)No probability of 0 books borrowed.
..and no probability of more than 6 books. Cannot borrow more than 6 books
Wrong shape or probability increases at top end.E2,1,0 E1 for each of these 3 distinct points up to a maximum of 2 marks
Total: 2
(e)(i)\(10 \times 3.08 = 30.8\) (pence) B1
Total: 1
(ii)'2.7736' × 100 = '277.36' then \(\sqrt{277.36}\) M1
\(= 16.7\) (pence) orA1 AWFW 16 to 17
\(\sqrt{'2.7736'} = '1.66...'\), '1.67' × 10 = 16.7 (pence)(M1) (A1) For √ their variance and × 10; AWFW 16 to 17
Where working is in £ in (i) or (ii) or both:
(i) £0.308(B1) Must show £ sign
(ii) '2.7736' × 0.01 = 0.027736; \(\sqrt{0.027736}\) = £0.167(M1) (A1) For their variance × 0.01 and √; AWFW 0.16 to 0.17. Must show £ sign
Or \(\sqrt{'2.7736'} = '1.66...'\), '1.67' × 0.1 = £0.167(M1) (A1) For √ their variance and × 0.1; AWFW 0.16 to 0.17. Must show £ sign
Total: 3
TOTAL FOR Q3: 13
| Part | Answer/Working | Marks | Guidance |
|------|---|---|---|
| (a) | 0.35 | B1 | CAO or equivalent fraction or % |
| | **Total: 1** | | |
| (b) | $P(< 3) = 0.45$ | B1 | |
| | '0.35' × '0.45' (= 0.1575) × 2 = 0.315 | M1 A1 | Their 0.35 and 0.45; CAO or equivalent fraction or % |
| | **Total: 3** | | |
| (c) | Mean = $1 \times 0.19 + 2 \times 0.26 + 3 \times 0.20 + 4 \times 0.13 + 5 \times 0.07 + 6 \times 0.15$ | M1 | This working, or the next line, must be seen (at least 3 products) |
| | $= 0.19 + 0.52 + 0.60 + 0.52 + 0.35 + 0.90 = 3.08$ | A1 | CAO. AG. |
| | Variance = $1^2 \times 0.19 + 2^2 \times 0.26 + 3^2 \times 0.20 + 4^2 \times 0.13 + 5^2 \times 0.07 + 6^2 \times 0.15 - 3.08^2$ | M1 | PI; AWFW 2.77 to 2.78 |
| | $= 2.77(36)$ | A1 | |
| | **Total: 4** | | |
| (d) | No probability of 0 books borrowed. | | Cannot borrow no books |
| | ..and no probability of more than 6 books. | | Cannot borrow more than 6 books |
| | Wrong shape or probability increases at top end. | E2,1,0 | E1 for each of these 3 distinct points up to a maximum of 2 marks |
| | **Total: 2** | | |
| (e)(i) | $10 \times 3.08 = 30.8$ (pence) | B1 | CAO; 31, without 30.8 seen, scores B0 |
| | **Total: 1** | | |
| (ii) | '2.7736' × 100 = '277.36' then $\sqrt{277.36}$ | M1 | For their variance × 100 and √ |
| | $= 16.7$ (pence) or | A1 | AWFW 16 to 17 |
| | $\sqrt{'2.7736'} = '1.66...'$, '1.67' × 10 = 16.7 (pence) | (M1) (A1) | For √ their variance and × 10; AWFW 16 to 17 |
| | Where working is in £ in (i) or (ii) or both: | | |
| | (i) £0.308 | (B1) | Must show £ sign |
| | (ii) '2.7736' × 0.01 = 0.027736; $\sqrt{0.027736}$ = £0.167 | (M1) (A1) | For their variance × 0.01 and √; AWFW 0.16 to 0.17. Must show £ sign |
| | Or $\sqrt{'2.7736'} = '1.66...'$, '1.67' × 0.1 = £0.167 | (M1) (A1) | For √ their variance and × 0.1; AWFW 0.16 to 0.17. Must show £ sign |
| | **Total: 3** | | |
| | **TOTAL FOR Q3: 13** | | |

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Members of a library may borrow up to 6 books. Past experience has shown that the number of books borrowed, $X$, follows the distribution shown in the table.

\begin{tabular}{|c|c|c|c|c|c|c|c|}
\hline
$x$ & 0 & 1 & 2 & 3 & 4 & 5 & 6 \\
\hline
P(X = x) & 0 & 0.19 & 0.26 & 0.20 & 0.13 & 0.07 & 0.15 \\
\hline
\end{tabular}

\begin{enumerate}[label=(\alph*)]
\item Find the probability that a member borrows more than 3 books. [1 mark]

\item Assume that the numbers of books borrowed by two particular members are independent.

Find the probability that one of these members borrows more than 3 books and the other borrows fewer than 3 books. [3 marks]

\item Show that the mean of $X$ is 3.08, and calculate the variance of $X$. [4 marks]

\item One of the library staff notices that the values of the mean and the variance of $X$ are similar and suggests that a Poisson distribution could be used to model $X$.

Without further calculations, give two reasons why a Poisson distribution would not be suitable to model $X$. [2 marks]

\item The library introduces a fee of 10 pence for each book borrowed.

Assuming that the probabilities do not change, calculate:

\begin{enumerate}[label=(\roman*)]
\item the mean amount that will be paid by a member;

\item the standard deviation of the amount that will be paid by a member.
\end{enumerate}
[3 marks]
\end{enumerate}

\hfill \mbox{\textit{AQA S2 2016 Q3 [13]}}