| Exam Board | CAIE |
|---|---|
| Module | FP2 (Further Pure Mathematics 2) |
| Year | 2017 |
| Session | Specimen |
| Marks | 11 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Linear regression |
| Type | Hypothesis test for zero correlation |
| Difficulty | Standard +0.8 This is a Further Maths statistics question requiring calculation of regression line from summary statistics, making a prediction, and performing a hypothesis test for correlation coefficient. While the calculations are systematic (finding r, then using t-test), it requires multiple steps, careful arithmetic with large numbers, and knowledge of the correlation test procedure which is less commonly practiced than basic regression. The Further Maths context and multi-stage nature elevate it above typical A-level questions. |
| Spec | 5.08a Pearson correlation: calculate pmcc5.08d Hypothesis test: Pearson correlation5.09a Dependent/independent variables5.09b Least squares regression: concepts5.09c Calculate regression line5.09e Use regression: for estimation in context |
| Answer | Marks | Guidance |
|---|---|---|
| \(S_{xy} = 24879 - 472 \times 400/8 = 1279\) | 2 marks | M1 A1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(y = 400/8 + b_1(x - 472/8) = 50 + 0.6085(x-59) = 0.6085x + 14.1\) | 2 marks | M1 A1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(b_2 = S_{xy}/S_{yy} = 1.043\) | 2 marks | (M1 A1) |
| \(x = 472/8 + b_2(y - 400/8)\) | 2 marks | (M1 A1) |
| Answer | Marks | Guidance |
|---|---|---|
| \(Y = 62.5\) or \(62\) | 1 mark | A1 |
| Answer | Marks | Guidance |
|---|---|---|
| or \(\sqrt{(0.6085 \times 1.043)} = 0.797\) | 2 marks | M1 A1* |
| Answer | Marks | Guidance |
|---|---|---|
| \(H_0: \rho = 0\), \(H_1: \rho \neq 0\) | 1 mark | B1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(r_{8,5\%} = 0.707\) | 1 mark | B1* |
| Answer | Marks | Guidance |
|---|---|---|
| Reject \(H_0\) if \( | r | >\) tab. value (AEF) |
| Correct conclusion: There is non-zero correlation | 1 mark | DA1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(I_{\text{lamina}} = \frac{1}{3}m\{(3a)^2 + (3a/2)^2\} + m(9a/2)^2\) | 2 marks | M1 A1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(I_{\text{rod}} = (\frac{1}{3}+1)M(3a/2)^2\ [= 3Ma^2]\) | 1 mark | B1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(I_1 = 24ma^2 + 3Ma^2 = 3(8m+M)a^2\) | 1 mark | A1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(= (51/4)ma^2 + \frac{3}{4}Ma^2 = \frac{3}{4}(17m+M)a^2\) | 2 marks | M1 A1 |
| Answer | Marks | Guidance |
|---|---|---|
| \([= (9m/2 + 3M/2)ga\sin\theta]\) | 2 marks | M1 A1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(\omega_1^2 = (3m+M)g/2(8m+M)a\) | 1 mark | M1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(T_1 = 2\pi\sqrt{\{2(8m+M)a/(3m+M)g\}}\) | 1 mark | A1 |
| Answer | Marks | Guidance |
|---|---|---|
| \([-]I_2\frac{d^2\theta}{dt^2} = mg \times 3a\sin\theta\) | 1 mark | M1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(\omega_2^2 = 4mg/(17m+M)a\) | 1 mark | M1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(T_2 = 2\pi\sqrt{\{(17m+M)a/4mg\}}\) | 1 mark | A1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(T_1 = 2\pi\sqrt{(18a/4g)} = T_2\) | 1 mark | B1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(H_0: \mu_X = \mu_Y\), \(H_1: \mu_X \neq \mu_Y\) | 1 mark | B1 |
| State assumption: Distributions have equal variances | 1 mark | B1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(s_Y^2 = (281.5 - 57.6^2/12)/11 = 0.4564\) or \(251/550\) or \(0.6755^2\) | 1 mark | M1 |
| Answer | Marks | Guidance |
|---|---|---|
| or \((180 - 42^2/10 + 281.5 - 57.6^2/12)/20 = 0.431\) or \(0.6565^2\) | 2 marks | M1 A1 |
| Answer | Marks | Guidance |
|---|---|---|
| \([-]t = (\bar{y}-\bar{x})/s\sqrt{(1/10+1/12)} = 2.13\) | 2 marks | M1 A1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(t_{20,\,0.975} = 2.086\) [allow 2.09] | 1 mark | B1* |
| Answer | Marks | Guidance |
|---|---|---|
| \(t > 2.09\) so mean masses not same | 1 mark | DB1\(\checkmark\) |
| Answer | Marks | Guidance |
|---|---|---|
| \(z = (\bar{y}-\bar{x})/\sqrt{(s_X^2/10 + s_Y^2/12)} = 0.6/\sqrt{0.078} = 2.15\) | 1 mark | (B1) |
| Answer | Marks | Guidance |
|---|---|---|
| \(2.15 > 1.96\) so mean masses not same | 1 mark | (B1) |
| Answer | Marks | Guidance |
|---|---|---|
| or \(H_0: \mu_X = \mu_Z\), \(H_1: \mu_X > \mu_Z\) | 1 mark | B1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(t = (4.2-3.8)/(s_X/\sqrt{10}) = 2.0\) | 2 marks | M1 A1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(t_{9,\,0.95} = 1.833\) [allow 1.83] | 1 mark | B1* |
| Answer | Marks | Guidance |
|---|---|---|
| or mean mass of Royals \(>\) mean mass of Crowns | 1 mark | DB1\(\checkmark\) |
## Question 9:
**Regression line of y on x:**
Calculate gradient $b_1$ in $y - \bar{y} = b_1(x - \bar{x})$:
$S_{xy} = 24879 - 472 \times 400/8 = 1279$ | 2 marks | M1 A1 |
$S_{xx} = 29950 - 472^2/8 = 2102$
$b_1 = S_{xy}/S_{xx} = 0.6085$ (3 s.f.)
Find regression line of $y$ on $x$:
$y = 400/8 + b_1(x - 472/8) = 50 + 0.6085(x-59) = 0.6085x + 14.1$ | 2 marks | M1 A1 |
Find $y$ when $x = 72$: $= 57.9$ or $58$
Allow use of regression line of $x$ on $y$ (since neither variable clearly independent):
$S_{yy} = 21226 - 400^2/8 = 1226$
$b_2 = S_{xy}/S_{yy} = 1.043$ | 2 marks | (M1 A1) |
$x = 472/8 + b_2(y - 400/8)$ | 2 marks | (M1 A1) |
$= 1.043y + 6.85$
$Y = 62.5$ or $62$ | 1 mark | A1 |
**Total: 5 marks**
**Product moment correlation coefficient:**
$r = 1279/\sqrt{(2102 \times 1226)}$
or $\sqrt{(0.6085 \times 1.043)} = 0.797$ | 2 marks | M1 A1* |
State both hypotheses (B0 for $r\ldots$):
$H_0: \rho = 0$, $H_1: \rho \neq 0$ | 1 mark | B1 |
State or use correct tabular two-tail $r$-value:
$r_{8,5\%} = 0.707$ | 1 mark | B1* |
State or imply valid method for conclusion:
Reject $H_0$ if $|r| >$ tab. value (AEF) | 1 mark | M1 |
Correct conclusion: There is non-zero correlation | 1 mark | DA1 | (AEF, dep A1*, B1*)
**Total: 6 marks**
---
## Question 10E:
Find MI of lamina about $Q$:
$I_{\text{lamina}} = \frac{1}{3}m\{(3a)^2 + (3a/2)^2\} + m(9a/2)^2$ | 2 marks | M1 A1 | $[= (15/4 + 81/4)ma^2 = 24ma^2]$
State or find MI of rod about $Q$:
$I_{\text{rod}} = (\frac{1}{3}+1)M(3a/2)^2\ [= 3Ma^2]$ | 1 mark | B1 |
Sum to find MI of object about $Q$:
$I_1 = 24ma^2 + 3Ma^2 = 3(8m+M)a^2$ | 1 mark | A1 | A.G.
Find MI of object about mid-point of $PQ$:
$I_2 = (15/4 + 3^2)ma^2 + \frac{1}{3}M(3a/2)^2$
$= (51/4)ma^2 + \frac{3}{4}Ma^2 = \frac{3}{4}(17m+M)a^2$ | 2 marks | M1 A1 | A.G.
Use equation of circular motion to find $\frac{d^2\theta}{dt^2}$ for axis $l_1$:
$[-]I_1\frac{d^2\theta}{dt^2} = mg \times (9a/2)\sin\theta + Mg \times (3a/2)\sin\theta$
$[= (9m/2 + 3M/2)ga\sin\theta]$ | 2 marks | M1 A1 |
Approximate $\sin\theta$ by $\theta$ and find $\omega_1^2$ in SHM equation:
$\omega_1^2 = (3m+M)g/2(8m+M)a$ | 1 mark | M1 |
Find period $T_1$ for axis $l_1$ from $2\pi/\omega_1$:
$T_1 = 2\pi\sqrt{\{2(8m+M)a/(3m+M)g\}}$ | 1 mark | A1 | (AEF)
Use equation of circular motion to find $\frac{d^2\theta}{dt^2}$ for axis $l_2$:
$[-]I_2\frac{d^2\theta}{dt^2} = mg \times 3a\sin\theta$ | 1 mark | M1 |
Approximate $\sin\theta$ by $\theta$ and find $\omega_2^2$ in SHM equation:
$\omega_2^2 = 4mg/(17m+M)a$ | 1 mark | M1 |
Find period $T_2$ for axis $l_2$ from $2\pi/\omega_2$:
$T_2 = 2\pi\sqrt{\{(17m+M)a/4mg\}}$ | 1 mark | A1 | (AEF)
Verify that $T_1 = T_2$ when $m = M$ (AEF):
$T_1 = 2\pi\sqrt{(18a/4g)} = T_2$ | 1 mark | B1 | [Taking $m=M$ throughout 2nd part can earn: M1 A1 M1 A0 M1 M1 A0 B1 (max 6/8)]
**Total: 8 marks**
---
## Question 10O:
State hypotheses (B0 for $\bar{x}\ldots$):
$H_0: \mu_X = \mu_Y$, $H_1: \mu_X \neq \mu_Y$ | 1 mark | B1 |
State assumption: Distributions have equal variances | 1 mark | B1 | (AEF)
Find sample mean and estimate population variances:
$\bar{x} = 4.2$, $\bar{y} = 4.8$
$s_X^2 = (180 - 42^2/10)/9 = 0.4$ or $0.6325^2$
$s_Y^2 = (281.5 - 57.6^2/12)/11 = 0.4564$ or $251/550$ or $0.6755^2$ | 1 mark | M1 | (allow biased: $0.36$ or $0.6^2$); (allow biased: $0.4183$ or $0.6468^2$)
Estimate (pooled) common variance:
$s^2 = (9s_X^2 + 11s_Y^2)/20$
or $(180 - 42^2/10 + 281.5 - 57.6^2/12)/20 = 0.431$ or $0.6565^2$ | 2 marks | M1 A1 | (AEF) (note $s_X^2$ and $s_Y^2$ not needed explicitly)
Calculate value of $t$ (to 3 s.f.):
$[-]t = (\bar{y}-\bar{x})/s\sqrt{(1/10+1/12)} = 2.13$ | 2 marks | M1 A1 |
State or use correct tabular $t$ value:
$t_{20,\,0.975} = 2.086$ [allow 2.09] | 1 mark | B1* | (or can compare $\bar{y}-\bar{x} = 0.6$ with $0.586$)
Correct conclusion:
$t > 2.09$ so mean masses not same | 1 mark | DB1$\checkmark$ | (AEF, $\checkmark$ on $t$, dep *B1)
**S.R.** Implicitly taking $s_X^2$, $s_Y^2$ as population variances:
$z = (\bar{y}-\bar{x})/\sqrt{(s_X^2/10 + s_Y^2/12)} = 0.6/\sqrt{0.078} = 2.15$ | 1 mark | (B1) | (may also earn first B1 B1 M1)
**Total: 9 marks**
Comparison with $z_{0.975}$ and conclusion:
$2.15 > 1.96$ so mean masses not same | 1 mark | (B1) | (can earn at most 5/9)
State hypotheses (B0 for $\bar{x}\ldots$):
$H_0: \mu_X = 3.8$, $H_1: \mu_X > 3.8$
or $H_0: \mu_X = \mu_Z$, $H_1: \mu_X > \mu_Z$ | 1 mark | B1 |
Calculate value of $t$ using $s_X$ from above:
$t = (4.2-3.8)/(s_X/\sqrt{10}) = 2.0$ | 2 marks | M1 A1 |
State or use correct tabular $t$ value:
$t_{9,\,0.95} = 1.833$ [allow 1.83] | 1 mark | B1* | (or can compare $0.4$ with $0.367$)
Correct conclusion:
$t > 1.833$, so claim is justified
or mean mass of Royals $>$ mean mass of Crowns | 1 mark | DB1$\checkmark$ | (A.E.F., $\checkmark$ on $t$, dep *B1)
**Total: 5 marks**
9 A random sample of 8 students is chosen from those sitting examinations in both Mathematics and French. Their marks in Mathematics, $x$, and in French, $y$, are summarised as follows.
$$\Sigma x = 472 \quad \Sigma x ^ { 2 } = 29950 \quad \Sigma y = 400 \quad \Sigma y ^ { 2 } = 21226 \quad \Sigma x y = 24879$$
Another student scored 72 marks in the Mathematics examination but was unable to sit the French examination.\\
(i) Estimate the mark that this student would have obtained in the French examination.\\
(ii) Test, at the $5 \%$ significance level, whether there is non-zero correlation between marks in Mathematics and marks in French.\\
\hfill \mbox{\textit{CAIE FP2 2017 Q9 [11]}}