S3 June 2008 Q4
4. The weights of adult men are normally distributed with a mean of 84 kg and a standard deviation of 11 kg.
The weights of adult women are normally distributed with a mean of 62 kg and a standard deviation of 10 kg.
| Scheme | Marks |
|---|---|
| \(X = M_1 + M_2 + M_3 + M_4 \sim \mathrm{N}(336, 22^2)\) \(\mu = \) 336 | B1 |
| \(\sigma^2 = 22^2\) or 484 | B1 |
| \(\mathrm{P}(X \lt 350) = \mathrm{P}\left(Z \lt \dfrac{350 - 336}{22}\right)\) | M1 |
| \(= \mathrm{P}(Z \lt 0.64)\) awrt 0.64 | A1 |
| \(=\) awrt 0.738 or 0.739 | A1 |
| (5) |
Notes
2nd B1 for \(\sigma = 22\) or \(\sigma^2 = 22^2\) or 484
M1 for standardising with their mean and standard deviation (ignore direction of inequality)
| Scheme | Marks |
|---|---|
| \(M \sim \mathrm{N}(84, 121)\) and \(W \sim \mathrm{N}(62, 100)\) Let \(Y = M - 1.5W\) | M1 |
| \(\mathrm{E}(Y) = 84 - 1.5 \times 62 = -9\) | A1 |
| \(\mathrm{Var}(Y) = \mathrm{Var}(M) + 1.5^2\,\mathrm{Var}(W)\) | M1 |
| \(= 11^2 + 1.5^2 \times 10^2 = 346\) | A1 |
| \(\mathrm{P}(Y \lt 0),\ = \mathrm{P}(Z \lt 0.48\ldots) =\) awrt 0.684 ~ 0.686 | M1, A1 |
| (6) | |
| (11 marks) |
Notes
1st M1 for attempting to find \(Y\). Need to see \(\pm(M - 1.5W)\) or equiv. May be implied by \(\mathrm{Var}(Y)\).
1st A1 for a correct value for their \(\mathrm{E}(Y)\) i.e. usually \(\pm 9\). Do not give M1A1 for a “lucky” \(\pm 9\).
2nd M1 for attempting \(\mathrm{Var}(Y)\) e.g. \(\ldots + 1.5^2 \times 10^2\) or \(11^2 + 1.5^2 \times \ldots\)
3rd M1 for attempt to calculate the correct probability. Must be attempting a probability > 0.5.
Must attempt to standardise with a relevant mean and standard deviation
Using \(\sigma^2_M = 11\) or \(\sigma^2_W = 10\) is not a misread.