CAIE FP2 2017 Specimen — Question 9 11 marks

Exam BoardCAIE
ModuleFP2 (Further Pure Mathematics 2)
Year2017
SessionSpecimen
Marks11
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicLinear regression
TypeHypothesis test for zero correlation
DifficultyStandard +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.
Spec5.08a 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

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.
  1. Estimate the mark that this student would have obtained in the French examination.
  2. Test, at the \(5 \%\) significance level, whether there is non-zero correlation between marks in Mathematics and marks in French.

Question 9:
Regression line of y on x:
Calculate gradient \(b_1\) in \(y - \bar{y} = b_1(x - \bar{x})\):
AnswerMarks Guidance
\(S_{xy} = 24879 - 472 \times 400/8 = 1279\)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 \(x\):
AnswerMarks Guidance
\(y = 400/8 + b_1(x - 472/8) = 50 + 0.6085(x-59) = 0.6085x + 14.1\)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):
\(S_{yy} = 21226 - 400^2/8 = 1226\)
AnswerMarks 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)
\(= 1.043y + 6.85\)
AnswerMarks Guidance
\(Y = 62.5\) or \(62\)1 mark A1
Total: 5 marks
Product moment correlation coefficient:
\(r = 1279/\sqrt{(2102 \times 1226)}\)
AnswerMarks Guidance
or \(\sqrt{(0.6085 \times 1.043)} = 0.797\)2 marks M1 A1*
State both hypotheses (B0 for \(r\ldots\)):
AnswerMarks Guidance
\(H_0: \rho = 0\), \(H_1: \rho \neq 0\)1 mark B1
State or use correct tabular two-tail \(r\)-value:
AnswerMarks Guidance
\(r_{8,5\%} = 0.707\)1 mark B1*
State or imply valid method for conclusion:
AnswerMarks Guidance
Reject \(H_0\) if \(r >\) tab. value (AEF)
Correct conclusion: There is non-zero correlation1 mark DA1
Total: 6 marks
Question 10E:
Find MI of lamina about \(Q\):
AnswerMarks Guidance
\(I_{\text{lamina}} = \frac{1}{3}m\{(3a)^2 + (3a/2)^2\} + m(9a/2)^2\)2 marks M1 A1
State or find MI of rod about \(Q\):
AnswerMarks Guidance
\(I_{\text{rod}} = (\frac{1}{3}+1)M(3a/2)^2\ [= 3Ma^2]\)1 mark B1
Sum to find MI of object about \(Q\):
AnswerMarks Guidance
\(I_1 = 24ma^2 + 3Ma^2 = 3(8m+M)a^2\)1 mark A1
Find MI of object about mid-point of \(PQ\):
\(I_2 = (15/4 + 3^2)ma^2 + \frac{1}{3}M(3a/2)^2\)
AnswerMarks Guidance
\(= (51/4)ma^2 + \frac{3}{4}Ma^2 = \frac{3}{4}(17m+M)a^2\)2 marks M1 A1
Use equation of circular motion to find \(\frac{d^2\theta}{dt^2}\) for axis \(l_1\):
\([-]I_1\frac{d^2\theta}{dt^2} = mg \times (9a/2)\sin\theta + Mg \times (3a/2)\sin\theta\)
AnswerMarks Guidance
\([= (9m/2 + 3M/2)ga\sin\theta]\)2 marks M1 A1
Approximate \(\sin\theta\) by \(\theta\) and find \(\omega_1^2\) in SHM equation:
AnswerMarks Guidance
\(\omega_1^2 = (3m+M)g/2(8m+M)a\)1 mark M1
Find period \(T_1\) for axis \(l_1\) from \(2\pi/\omega_1\):
AnswerMarks Guidance
\(T_1 = 2\pi\sqrt{\{2(8m+M)a/(3m+M)g\}}\)1 mark A1
Use equation of circular motion to find \(\frac{d^2\theta}{dt^2}\) for axis \(l_2\):
AnswerMarks Guidance
\([-]I_2\frac{d^2\theta}{dt^2} = mg \times 3a\sin\theta\)1 mark M1
Approximate \(\sin\theta\) by \(\theta\) and find \(\omega_2^2\) in SHM equation:
AnswerMarks Guidance
\(\omega_2^2 = 4mg/(17m+M)a\)1 mark M1
Find period \(T_2\) for axis \(l_2\) from \(2\pi/\omega_2\):
AnswerMarks Guidance
\(T_2 = 2\pi\sqrt{\{(17m+M)a/4mg\}}\)1 mark A1
Verify that \(T_1 = T_2\) when \(m = M\) (AEF):
AnswerMarks Guidance
\(T_1 = 2\pi\sqrt{(18a/4g)} = T_2\)1 mark B1
Total: 8 marks
Question 10O:
State hypotheses (B0 for \(\bar{x}\ldots\)):
AnswerMarks Guidance
\(H_0: \mu_X = \mu_Y\), \(H_1: \mu_X \neq \mu_Y\)1 mark B1
State assumption: Distributions have equal variances1 mark B1
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 \(0.6325^2\)
AnswerMarks Guidance
\(s_Y^2 = (281.5 - 57.6^2/12)/11 = 0.4564\) or \(251/550\) or \(0.6755^2\)1 mark M1
Estimate (pooled) common variance:
\(s^2 = (9s_X^2 + 11s_Y^2)/20\)
AnswerMarks Guidance
or \((180 - 42^2/10 + 281.5 - 57.6^2/12)/20 = 0.431\) or \(0.6565^2\)2 marks M1 A1
Calculate value of \(t\) (to 3 s.f.):
AnswerMarks Guidance
\([-]t = (\bar{y}-\bar{x})/s\sqrt{(1/10+1/12)} = 2.13\)2 marks M1 A1
State or use correct tabular \(t\) value:
AnswerMarks Guidance
\(t_{20,\,0.975} = 2.086\) [allow 2.09]1 mark B1*
Correct conclusion:
AnswerMarks Guidance
\(t > 2.09\) so mean masses not same1 mark DB1\(\checkmark\)
S.R. Implicitly taking \(s_X^2\), \(s_Y^2\) as population variances:
AnswerMarks 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)
Total: 9 marks
Comparison with \(z_{0.975}\) and conclusion:
AnswerMarks Guidance
\(2.15 > 1.96\) so mean masses not same1 mark (B1)
State hypotheses (B0 for \(\bar{x}\ldots\)):
\(H_0: \mu_X = 3.8\), \(H_1: \mu_X > 3.8\)
AnswerMarks Guidance
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:
AnswerMarks Guidance
\(t = (4.2-3.8)/(s_X/\sqrt{10}) = 2.0\)2 marks M1 A1
State or use correct tabular \(t\) value:
AnswerMarks Guidance
\(t_{9,\,0.95} = 1.833\) [allow 1.83]1 mark B1*
Correct conclusion:
\(t > 1.833\), so claim is justified
AnswerMarks Guidance
or mean mass of Royals \(>\) mean mass of Crowns1 mark DB1\(\checkmark\)
Total: 5 marks
## 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**

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## 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**

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## 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]}}