S2 June 2005 Q7
7. A drugs company claims that 75% of patients suffering from depression recover when treated with a new drug.
A random sample of 10 patients with depression is taken from a doctor’s records.
Given that the claim is correct,
The doctor believes that the claim is incorrect and the percentage who will recover is lower. From her records she took a random sample of 20 patients who had been treated with the new drug. She found that 13 had recovered.
| Scheme | Marks |
|---|---|
| \(X \sim \mathrm{B}(10, p)\) | B1, B1 |
| (2) |
Notes
B1, B1 Binomial (10, 0.75)
| Scheme | Marks |
|---|---|
| \(\mathrm{P}(X = 6) = 0.9219 - 0.7759\) | M1 |
| \(= 0.1460\) | A1 |
| (2) |
Notes
M1 \(\mathrm{P}(X \leqslant 6) - \mathrm{P}(X \leqslant 5)\)
A1 0.1460
| Scheme | Marks |
|---|---|
| \(\mathrm{H}_0: p = 0.75\) (or \(p = 0.25\)) | B1 |
| \(\mathrm{H}_1: p \lt 0.75\) (or \(p \gt 0.25\)) | B1 |
| Under \(\mathrm{H}_0\), \(X \sim \mathrm{B}(20, 0.75)\) (or \(Y \sim \mathrm{B}(20, 0.25)\)) | B1 |
| \(\mathrm{P}(X \leqslant 13) = 1 - 0.7858 = 0.2142\) (or \(\mathrm{P}(Y \geqslant 7)\)) Insufficient evidence to reject \(\mathrm{H}_0\) as \(0.2142 \gt 0.05\) | M1, A1 |
| Doctor’s belief is not supported by the sample | A1 |
| (6) |
Notes
1st B1 correct \(\mathrm{H}_0\)
2nd B1 one tailed \(\mathrm{H}_1\)
3rd B1 implied
M1, A1 \(\mathrm{P}(X \leqslant 13)\) and 1 –, 0.2142
A1 context
(corrected from the printed mark scheme: the printed scheme has “0.2412 > 0.05”; the probability found is 0.2142)
Alternative (critical region)
| Scheme | Marks |
|---|---|
| (OR CR \(\mathrm{P}(X \leqslant 12) = 1 - 0.8982 = 0.1018\) (or \(\mathrm{P}(Y \geqslant 8)\)) \(\mathrm{P}(X \leqslant 11) = 1 - 0.9591 = 0.0409\) (or \(\mathrm{P}(Y \geqslant 9)\)) 13 outside critical region (or 7)) | (M1 A1) |
(M1 A1) either
| Scheme | Marks |
|---|---|
| \(\mathrm{P}(X \leqslant c) \leqslant 0.01\) for \(p = 0.75\) (or \(\mathrm{P}(Y \geqslant 20 - c) \leqslant 0.01\) for \(p = 0.25\)) | M1 A1 |
| \(\mathrm{P}(X \leqslant 9) = 1 - 0.9961 = 0.0039\) (or \(\mathrm{P}(Y \geqslant 11)\)) \(\mathrm{P}(X \leqslant 10) = 1 - 0.9861 = 0.0139\) (or \(\mathrm{P}(Y \geqslant 10)\)) | B1 |
| C. R. is [0,9], so greatest no. of patients is 9. | B1 |
| (4) | |
| (14 marks) |
Notes
1st B1 0.9961 or 0.9981
2nd B1 9