| Exam Board | CAIE |
|---|---|
| Module | FP2 (Further Pure Mathematics 2) |
| Year | 2015 |
| Session | June |
| Marks | 12 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Exponential Distribution |
| Type | Transform exponential random variable |
| Difficulty | Standard +0.8 This is a multi-part question on exponential distributions requiring: (1) finding a constant using integration (routine), (2) finding CDF and median (standard), (3) transforming a random variable using the Jacobian method (less routine for A-level), and (4) applying the transformed distribution. The transformation Y=e^X requires understanding of the change-of-variable technique for continuous distributions, which is conceptually demanding for Further Maths students, though the execution is mechanical once the method is known. |
| Spec | 5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf5.03e Find cdf: by integration5.03f Relate pdf-cdf: medians and percentiles5.03g Cdf of transformed variables |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Marks | Guidance |
| \(\left[-ae^{-(x-2)}\right]_2^\infty = a = 1\) | B1 | AG Find \(a\) by equating \(\int_2^\infty f(x)\,dx\) to 1 |
| \(F(x) = \int f(x)\,dx = -ae^{-(x-2)} + c\) | Find or state distribution function \(F(x)\) for \(x \geq 2\) | |
| \(F(2) = 0\) so \(F(x) = 1 - e^{-(x-2)}\) | M1 A1 | |
| \(F(x) = 0\) for \(x < 2\) | A1 | State \(F(x)\) for \(x < 2\) |
| \(1 - e^{-(m-2)} = \frac{1}{2}\), \(e^{m-2} = 2\) | Find median value \(m\) from \(F(m) = \frac{1}{2}\) | |
| \(m = 2 + \ln 2\) or \(2 - \ln\frac{1}{2}\) or \(2.69\) | M1 A1 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Marks | Guidance |
| \(G(y) = P(Y < y) = P(e^X < y)\) | Find or state \(G(y)\) from \(Y = e^X\) for \(x \geq 2\) | |
| \(= P(X < \ln y) = F(\ln y)\) | ||
| \(= 1 - e^{-(\ln y - 2)} = 1 - e^2/y\) | M1 A1 | |
| \(g(y) = e^2/y^2\) | A1 | Find \(g(y)\) by differentiation (allow \(e^2 = 7.39\)) |
| for \(y \geq e^2\) [\(g(y) = 0\) for \(y < e^2\)] | A1 | State corresponding range of \(y\) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Marks | Guidance |
| \(P(Y > 10) = 1 - G(10)\) | Find \(P(Y > 10)\); M0 for \(G(10)\) or \(1 - g(10)\) | |
| \(= e^2/10\) or \(0.739\) | M1 A1 | |
| Part marks: 2 | Total: 12 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Marks | Guidance |
| \(\frac{1}{2}mv_1^2 = \frac{1}{2}mu^2 - \frac{1}{2}mga\) | B1 | Use conservation of energy when \(P\) is level with \(A\) |
| \(T_1 = mv_1^2/\frac{1}{2}a\) | B1 | Use \(F = ma\) radially |
| \(T_1 = (2m/a)(u^2 - ag)\) | B1 | AG Eliminate \(v_1^2\) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Marks | Guidance |
| State or imply that string loses contact when vertical | M1 | |
| \(\frac{1}{2}mv_2^2 = \frac{1}{2}mu^2 - mga\) | B1 | Use conservation of energy |
| \(T_2 = mv_2^2/\frac{1}{2}a - mg\) | B1 | Use \(F = ma\) radially just before this point |
| \(T_3 = mv_2^2/(3a/2) - mg\) | B1 | Use \(F = ma\) radially just after this point |
| EITHER: \(mv_2^2/\frac{1}{2}a - mg = 5\{mv_2^2/(3a/2) - mg\}\) | Find \(v_2^2\) and hence \(u^2\) from \(T_2/T_3 = 5\) | |
| \(v_2^2 = 3ag\), \(u^2 = 3ag + 2ag = 5ag\) | M1 A1 | AG |
| OR: Eliminate \(v_2^2\) in \(T_2/T_3 = 5\): \((m/a)(2u^2 - 5ag) = 5(m/a)(2u^2/3 - 7ag/3)\) | ||
| \(4u^2/3 = 20ag/3\), \(u^2 = 5ag\) | M1 A1 | AG |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| Find \(\cos\theta\), where \(\theta = \angle AOP\), when \(P\) is level with \(A\): \(\cos\theta = \frac{a}{3a/2} = \frac{2}{3}\) | B1 | |
| Use conservation of energy: \(\frac{1}{2}mv_4^2 = \frac{1}{2}mu^2 - \frac{1}{2}mga\) | B1 | |
| \(or\ \frac{1}{2}mu^2 - mg\{(3a/2)\cos\theta - \frac{1}{2}a\}\) | ||
| \(or\ \frac{1}{2}mv_2^2 + \frac{1}{2}mga\) | ||
| \(or\ \frac{1}{2}mv_2^2 + mg(3a/2)(1-\cos\theta)\) | B1 | |
| \([v_4^2 = 4ag]\) | ||
| Use \(F = ma\) radially: \(T_4 = \frac{mv_4^2}{(3a/2)} - mg\cos\theta\) | B1 | |
| Eliminate \(v_4^2\) to find \(T_4\): \(T_4 = 4mag \times \frac{2}{3a} - \frac{2mg}{3}\) | ||
| \(= \frac{8mg}{3} - \frac{2mg}{3}\) | ||
| \(= 2mg\) | M1 A1 | 5 marks |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| State hypotheses: \(H_0: \mu_A = \mu_B\), \(H_1: \mu_A < \mu_B\) | B1 | B0 for \(\bar{t}_A\) ... |
| Estimate both population variances (to 3 d.p.): \(s_A^2 = (215.18 - \frac{102^2}{50})/49\) | M1 A1 | |
| \(and\ s_B^2 = (282.3 - \frac{129^2}{60})/59\) | ||
| (allow biased: \(0.1420\ or\ 0.3768^2\)) \(s_A^2 = 0.1449\ or\ 71/490\) | ||
| \(or\ 0.3807^2\) | ||
| \(and\ 0.0825\ or\ 0.2872^2\)) \(and\ s_B^2 = 0.0839\ or\ 99/1180\) | A1 | |
| \(or\ 0.2897^2\) | ||
| EITHER: Estimate combined variance: \(s^2 = \frac{s_A^2}{50} + \frac{s_B^2}{60}\) | M1 | |
| (to 3 s.f.) \(= 0.004296\ or\ 0.06555^2\) | A1 | |
| Calculate value of \(z\) (or \(-z\)): \(z = (\bar{t}_B - \bar{t}_A)/s\) | ||
| (to 3 s.f.) \(= (2.15 - 2.04)/s = 1.68\) | M1 A1 | |
| OR: Pooled estimate of common variance: \(s^2 = (49s_A^2 + 59s_B^2)/108\) | (M1 A1) | note \(s_A^2\) and \(s_B^2\) not needed explicitly |
| \(or\ (215.18 - \frac{102^2}{50} + 282.3 - \frac{129^2}{60})/108\) | ||
| (to 3 s.f.) \(= 0.1116\ or\ 0.334^2\) | ||
| Calculate value of \(z\) (or \(-z\)): \(z = (\bar{t}_B - \bar{t}_A)/s\ \sqrt{1/50 + 1/60}\) | (M1 A1) | |
| (to 3 s.f.) \(= 0.11/0.06396 = 1.72\) | ||
| State or use correct tabular \(z\) value (to 3 s.f.): \(z_{0.95} = 1.645\) (allow 1.658) | *B1 | |
| (or can compare \(\bar{t}_B - \bar{t}_A = 0.11\) with \(0.105\)) | ||
| Correct conclusion (AEF, ft on \(z\), dep *B1): \(z >\) tabular value, so club \(A\) takes less time | B1 | 10 marks |
| Calculate value of \(z\) (either sign): \(z = (0.11 - 0.05)/s = 0.06/s\) | M1 A1 | |
| (to 3 s.f.) \(= 0.9154\ [or\ 0.9381]\) | ||
| Find \(\Phi(z)\) and set of possible values of \(\alpha\): \(\Phi(z) = 0.820\ [or\ 0.826]\) | M0 for \(\alpha \sim 82\) or \(0.82\) (to 1 d.p.) | |
| \(\alpha \geq (or >) 18.0\ [or\ 17.4]\) | M1 A1 | 4 marks |
| SR Allow B1 (max 3/4) for \(\alpha < 18.0\ [or\ 17.4]\) | Total: 14 |
## Question 9:
| Answer/Working | Marks | Guidance |
|---|---|---|
| $\left[-ae^{-(x-2)}\right]_2^\infty = a = 1$ | B1 | **AG** Find $a$ by equating $\int_2^\infty f(x)\,dx$ to 1 |
| $F(x) = \int f(x)\,dx = -ae^{-(x-2)} + c$ | | Find or state distribution function $F(x)$ for $x \geq 2$ |
| $F(2) = 0$ so $F(x) = 1 - e^{-(x-2)}$ | M1 A1 | |
| $F(x) = 0$ for $x < 2$ | A1 | State $F(x)$ for $x < 2$ |
| $1 - e^{-(m-2)} = \frac{1}{2}$, $e^{m-2} = 2$ | | Find median value $m$ from $F(m) = \frac{1}{2}$ |
| $m = 2 + \ln 2$ or $2 - \ln\frac{1}{2}$ or $2.69$ | M1 A1 | |
**Part marks: 1, 5**
### Question 9(i):
| Answer/Working | Marks | Guidance |
|---|---|---|
| $G(y) = P(Y < y) = P(e^X < y)$ | | Find or state $G(y)$ from $Y = e^X$ for $x \geq 2$ |
| $= P(X < \ln y) = F(\ln y)$ | | |
| $= 1 - e^{-(\ln y - 2)} = 1 - e^2/y$ | M1 A1 | |
| $g(y) = e^2/y^2$ | A1 | Find $g(y)$ by differentiation (allow $e^2 = 7.39$) |
| for $y \geq e^2$ [$g(y) = 0$ for $y < e^2$] | A1 | State corresponding range of $y$ |
**Part marks: 4**
### Question 9(ii):
| Answer/Working | Marks | Guidance |
|---|---|---|
| $P(Y > 10) = 1 - G(10)$ | | Find $P(Y > 10)$; M0 for $G(10)$ or $1 - g(10)$ |
| $= e^2/10$ or $0.739$ | M1 A1 | |
**Part marks: 2 | Total: 12**
---
## Question 10A:
| Answer/Working | Marks | Guidance |
|---|---|---|
| $\frac{1}{2}mv_1^2 = \frac{1}{2}mu^2 - \frac{1}{2}mga$ | B1 | Use conservation of energy when $P$ is level with $A$ |
| $T_1 = mv_1^2/\frac{1}{2}a$ | B1 | Use $F = ma$ radially |
| $T_1 = (2m/a)(u^2 - ag)$ | B1 | **AG** Eliminate $v_1^2$ |
**Part marks: 3**
### Question 10A(i):
| Answer/Working | Marks | Guidance |
|---|---|---|
| State or imply that string loses contact when vertical | M1 | |
| $\frac{1}{2}mv_2^2 = \frac{1}{2}mu^2 - mga$ | B1 | Use conservation of energy |
| $T_2 = mv_2^2/\frac{1}{2}a - mg$ | B1 | Use $F = ma$ radially just before this point |
| $T_3 = mv_2^2/(3a/2) - mg$ | B1 | Use $F = ma$ radially just after this point |
| EITHER: $mv_2^2/\frac{1}{2}a - mg = 5\{mv_2^2/(3a/2) - mg\}$ | | Find $v_2^2$ and hence $u^2$ from $T_2/T_3 = 5$ |
| $v_2^2 = 3ag$, $u^2 = 3ag + 2ag = 5ag$ | M1 A1 | **AG** |
| OR: Eliminate $v_2^2$ in $T_2/T_3 = 5$: $(m/a)(2u^2 - 5ag) = 5(m/a)(2u^2/3 - 7ag/3)$ | | |
| $4u^2/3 = 20ag/3$, $u^2 = 5ag$ | M1 A1 | **AG** |
**Part marks: 6**
## Question (ii):
| Answer/Working | Mark | Guidance |
|---|---|---|
| Find $\cos\theta$, where $\theta = \angle AOP$, when $P$ is level with $A$: $\cos\theta = \frac{a}{3a/2} = \frac{2}{3}$ | B1 | |
| Use conservation of energy: $\frac{1}{2}mv_4^2 = \frac{1}{2}mu^2 - \frac{1}{2}mga$ | B1 | |
| $or\ \frac{1}{2}mu^2 - mg\{(3a/2)\cos\theta - \frac{1}{2}a\}$ | | |
| $or\ \frac{1}{2}mv_2^2 + \frac{1}{2}mga$ | | |
| $or\ \frac{1}{2}mv_2^2 + mg(3a/2)(1-\cos\theta)$ | B1 | |
| $[v_4^2 = 4ag]$ | | |
| Use $F = ma$ radially: $T_4 = \frac{mv_4^2}{(3a/2)} - mg\cos\theta$ | B1 | |
| Eliminate $v_4^2$ to find $T_4$: $T_4 = 4mag \times \frac{2}{3a} - \frac{2mg}{3}$ | | |
| $= \frac{8mg}{3} - \frac{2mg}{3}$ | | |
| $= 2mg$ | M1 A1 | **5 marks** |
---
## Question 10B:
| Answer/Working | Mark | Guidance |
|---|---|---|
| State hypotheses: $H_0: \mu_A = \mu_B$, $H_1: \mu_A < \mu_B$ | B1 | B0 for $\bar{t}_A$ ... |
| Estimate both population variances (to 3 d.p.): $s_A^2 = (215.18 - \frac{102^2}{50})/49$ | M1 A1 | |
| $and\ s_B^2 = (282.3 - \frac{129^2}{60})/59$ | | |
| (allow biased: $0.1420\ or\ 0.3768^2$) $s_A^2 = 0.1449\ or\ 71/490$ | | |
| $or\ 0.3807^2$ | | |
| $and\ 0.0825\ or\ 0.2872^2$) $and\ s_B^2 = 0.0839\ or\ 99/1180$ | A1 | |
| $or\ 0.2897^2$ | | |
| **EITHER:** Estimate combined variance: $s^2 = \frac{s_A^2}{50} + \frac{s_B^2}{60}$ | M1 | |
| (to 3 s.f.) $= 0.004296\ or\ 0.06555^2$ | A1 | |
| Calculate value of $z$ (or $-z$): $z = (\bar{t}_B - \bar{t}_A)/s$ | | |
| (to 3 s.f.) $= (2.15 - 2.04)/s = 1.68$ | M1 A1 | |
| **OR:** Pooled estimate of common variance: $s^2 = (49s_A^2 + 59s_B^2)/108$ | (M1 A1) | note $s_A^2$ and $s_B^2$ not needed explicitly |
| $or\ (215.18 - \frac{102^2}{50} + 282.3 - \frac{129^2}{60})/108$ | | |
| (to 3 s.f.) $= 0.1116\ or\ 0.334^2$ | | |
| Calculate value of $z$ (or $-z$): $z = (\bar{t}_B - \bar{t}_A)/s\ \sqrt{1/50 + 1/60}$ | (M1 A1) | |
| (to 3 s.f.) $= 0.11/0.06396 = 1.72$ | | |
| State or use correct tabular $z$ value (to 3 s.f.): $z_{0.95} = 1.645$ (allow 1.658) | *B1 | |
| (or can compare $\bar{t}_B - \bar{t}_A = 0.11$ with $0.105$) | | |
| Correct conclusion (AEF, ft on $z$, dep *B1): $z >$ tabular value, so club $A$ takes less time | B1 | **10 marks** |
| Calculate value of $z$ (either sign): $z = (0.11 - 0.05)/s = 0.06/s$ | M1 A1 | |
| (to 3 s.f.) $= 0.9154\ [or\ 0.9381]$ | | |
| Find $\Phi(z)$ and set of possible values of $\alpha$: $\Phi(z) = 0.820\ [or\ 0.826]$ | | M0 for $\alpha \sim 82$ or $0.82$ (to 1 d.p.) |
| $\alpha \geq (or >) 18.0\ [or\ 17.4]$ | M1 A1 | **4 marks** |
| **SR** Allow B1 (max 3/4) for $\alpha < 18.0\ [or\ 17.4]$ | | **Total: 14** |
9 The continuous random variable $X$ has probability density function given by
$$\mathrm { f } ( x ) = \begin{cases} 0 & x < 2 \\ a \mathrm { e } ^ { - ( x - 2 ) } & x \geqslant 2 \end{cases}$$
where $a$ is a constant. Show that $a = 1$.
Find the distribution function of $X$ and hence find the median value of $X$.
The random variable $Y$ is defined by $Y = \mathrm { e } ^ { X }$. Find\\
(i) the probability density function of $Y$,\\
(ii) $\mathrm { P } ( Y > 10 )$.
\hfill \mbox{\textit{CAIE FP2 2015 Q9 [12]}}