S4 June 2015 Q5
5. A researcher is investigating the accuracy of IQ tests. One company offers IQ tests that it claims will give any individual’s IQ with a standard deviation of 5
The researcher takes these tests 9 times with the following results
123, 118, 127, 120, 134, 120, 118, 135, 121
Given that any individual’s IQ scores on these tests are independent and have a normal distribution,
Gurdip works for the company and has taken these IQ tests 12 times. Gurdip claims that the sample variance of these 12 scores is \(s^2 = 8.17\)
[You may use \(\mathrm{P}(\chi^2_{11} \gt 3.816) = 0.975\) and \(\mathrm{P}(\chi^2_{11} \gt 21.920) = 0.025\)] (2)
| Scheme | Marks |
|---|---|
| \(\bar{x} = \dfrac{\sum x}{n} = \dfrac{1116}{9} = 124\) | B1 |
| \(s^2 = \dfrac{9}{8}\left(\dfrac{138728}{9} - 124^2\right) = 43\) Or \(s^2 = \dfrac{1}{8}\left(138728 - \dfrac{1116^2}{9}\right) = 43\) | B1 |
| (2) |
Notes
B1 124
B1 43
| Scheme | Marks |
|---|---|
| Test stat \(\chi^2 = \dfrac{8 \times 43}{25} = 13.76\) | M1A1 |
| Critical value \(\chi^2 = 15.507\) | B1 |
| Therefore not in critical region, insufficient evidence to reject \(\mathrm{H}_0\) There is evidence at the 5% level that the company’s claim is supported | B1d |
| (4) |
Notes
M1 \(\dfrac{8 \times \text{their } 43}{25}\)
A1 awrt 13.8
B1 15.507
B1 dep on previous M1 being awarded. Allow the standard deviation of the IQ scores is 5 oe. Must have IQ
| Scheme | Marks |
|---|---|
| CI given by \(\dfrac{11 \times 8.17}{21.920} \lt \sigma^2 \lt \dfrac{11 \times 8.17}{3.816}\) | M1 |
| Therefore \(4.0999\ldots \lt \sigma^2 \lt 23.55\ldots\) awrt 4.10 and 23.6 | A1 |
| (2) |
Notes
M1 \(\dfrac{11 \times 8.17}{3.816 \text{ or } 21.92}\)
A1 both correct
| Scheme | Marks |
|---|---|
| \(\sigma^2 = 25\) is not in CI which suggests Gurdip’s(his) claim may not be true. | B1ft |
| (1) | |
| (9 marks) |
Notes
B1ft their interval from part(c). Gurdip’s claim may not be true
NB, no interval in (c) then B0