October 2021 Paper 2 Q13
13 At a certain factory Christmas tree decorations are packed in boxes of 10.
The quality control manager collects a random sample of 100 boxes of decorations and records the number of decorations in each box which are damaged.
His results are displayed in Fig. 13.1.
| Number of damaged decorations | 0 | 1 | 2 | 3 | 4 | 5 or more |
|---|---|---|---|---|---|---|
| Number of boxes | 19 | 35 | 28 | 13 | 5 | 0 |
Fig. 13.1
- the mean number of damaged decorations per box,
- the standard deviation of the number of damaged decorations per box.
It is believed that the number of damaged decorations in a box of 10, \(X\), may be modelled by a binomial distribution such that \(X \sim \mathrm{B}(n, p)\).
| Number of damaged decorations | 0 | 1 | 2 | 3 | 4 | 5 or more |
|---|---|---|---|---|---|---|
| Observed number of boxes | 19 | 35 | 28 | 13 | 5 | 0 |
| Expected number of boxes |
Fig. 13.2
| Scheme | Marks | AO |
|---|---|---|
| mean = 1.5 BC | B1 | 1.1 |
| sd = 1.1, 1.10 or awrt 1.096 BC | B1 | 1.1 |
| [2] |
| Scheme | Marks | AO |
|---|---|---|
| \(n = 10\) and \(p = 0.15\) | B1 | 3.3 |
| [1] |
| Scheme | Marks | AO | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| M1 M1 A1 | 3.4 3.4 1.1 | |||||||||||||||||||||
| [3] |
Notes
M1: use of \(\mathrm{B}(10, p)\) FT their \(p\) to find at least 2 probabilities; may be unsimplified
must see at least 2 probabilities for M1
M1: multiplying their binomial probabilities by 100
must see at least 2 expected values calculated for M1
A1: all correct to 1 dp or better; must add up to 100
| Scheme | Marks | AO |
|---|---|---|
| close match between theoretical (or expected) and observed frequencies so model is a good fit | B1 | 3.5a |
| [1] |
Notes
B1: FT dependent on award of M1M1 in (c) and all frequencies calculated