A2 October 2021 Q4
4. Members of a photographic group may enter a maximum of 5 photographs into a members only competition.
Past experience has shown that the number of photographs, \(N\), entered by a member follows the probability distribution shown below.
| \(n\) | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| \(\mathrm{P}(N = n)\) | \(a\) | 0.2 | 0.05 | 0.25 | \(b\) | \(c\) |
Given that \(\mathrm{E}(4N + 2) = 14.8\) and \(\mathrm{P}(N = 5 \mid N \gt 2) = \dfrac{1}{2}\)
The group decided to charge a 50p entry fee for the first photograph entered and then 20p for each extra photograph entered into the competition up to a maximum of £1 per person. Thus a member who enters 3 photographs pays 90p and a member who enters 4 or 5 photographs just pays £1
Assuming that the probability distribution for the number of photographs entered by a member is unchanged,
Bai suggests that, as the mean and variance are close, a Poisson distribution could be used to model the number of photographs entered by a member next year.
| Scheme | Marks | AO |
|---|---|---|
| \(4\mathrm{E}(N) + 2 = 14.8\) or \(\mathrm{E}(N) = 3.2\) | M1 | 3.1a |
| \(0.2 + 0.1 + 0.75 + 4b + 5c = 3.2\) | M1 | 1.1b |
| \(\dfrac{c}{0.25 + b + c} = 0.5\) or \(0.25 = c - b\) | M1 | 3.1a |
| \(b = 0.1\) and \(c = 0.35\) | ||
| \(\mathrm{E}(N^2) = 1 \times 0.2 + 4 \times 0.05 + 9 \times 0.25 + 16 \times \text{“}0.1\text{”} + 25 \times \text{“}0.35\text{”}\ [= 13]\) | M1 | 1.1b |
| \(\mathrm{Var}(N) = \text{“}13\text{”} - \text{“}3.2\text{”}^2\) | dM1 | 1.1b |
| \(= 2.76\)* | A1* | 2.1 |
| (6) |
Notes
M1: For using the given information to find \(\mathrm{E}(N)\)
ALT \(a + b + c = 0.5\) oe
M1: For use of \(\sum n\mathrm{P}(N = n) = \text{“}3.2\text{”}\) At least 3 terms correct
ALT \(\sum(4n + 2)\mathrm{P}(N = n) = 14.8 \Rightarrow 2a + 1.2 + 0.5 + 3.5 + 18b + 22c = 14.8\) At least 3 terms correct
M1: Forming an equation in \(b\) and \(c\) using conditional probability
M1: For using \(\sum n^2\mathrm{P}(N = n)\) Allow with the letters \(b\) and \(c\)
dM1: Dependent on previous method mark. Correct method to find \(\mathrm{Var}(N)\)
A1*: All previous marks must be awarded and 2.76 stated
| Scheme | Marks | AO | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| M1 | 3.3 | ||||||||||||||
| \(50 \times 0.2 + 70 \times 0.05 + 90 \times 0.25 + 100 \times \text{“}0.1\text{”} + 100 \times \text{“}0.35\text{”}\) | M1 | 1.1b | ||||||||||||||
| = 81p | A1 | 1.1b | ||||||||||||||
| (3) |
Notes
M1: Setting up a new model with the correct fees. At least 3 terms correct. Allow 0.5, 0.7, 0.9, 1
M1: Correct method for calculating E(fee) Allow with the letters \(b\) and \(c\)
A1: 81[p] No units needed. Allow 0.81 if fees are in pounds
| Scheme | Marks | AO |
|---|---|---|
| Poisson distribution will assign substantial probability to \(N \gt 5\) | B1 | 3.5b |
| (1) | ||
| (10 marks) |
Notes
B1: A correct limitation.