| Exam Board | CAIE |
|---|---|
| Module | FP2 (Further Pure Mathematics 2) |
| Year | 2019 |
| Session | November |
| Marks | 10 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Cumulative distribution functions |
| Type | PDF of transformed variable |
| Difficulty | Standard +0.8 This Further Maths question requires integrating a rational/polynomial function to find the CDF, then applying transformation of variables (Y=X²) to find a new PDF, and finally solving F(y)=0.8. While the techniques are standard for Further Maths, the algebraic manipulation and multi-step nature elevate it slightly above average difficulty. |
| Spec | 5.03a Continuous random variables: pdf and cdf5.03e Find cdf: by integration5.03g Cdf of transformed variables |
| Answer | Marks | Guidance |
|---|---|---|
| 10(i) | F(x) = ∫ f(x) dx = (1/30) (– 8/x + x3 – 14x) [+ c] | M1 |
| F(x) = (1/30) (– 8/x + x3 – 14x + 24) | M1 | Using F(2) = 0 or F(4) = 1 to find c if necessary. AEF |
| F(x) = 0 (x < or ⩽ 2), F(x) = 1 ( x > or ⩾ 4) | A1 | State F(x) for other values of x |
| Answer | Marks |
|---|---|
| 10(ii) | G(y) = P(Y < y) = P(X2 < y) |
| Answer | Marks |
|---|---|
| G(y) = ( 1/30 ) −8/y 1 2 + y2 3 −14y 1 2 +24 | M1 |
| A1 | Find or state G(y) for 2 ⩽ x ⩽ 4 from Y = X2 |
| Answer | Marks |
|---|---|
| dy 2 | (M1 |
| A1) | dx ( )=f ( )× dy |
| Answer | Marks |
|---|---|
| for 4 ⩽ y ⩽ 16 [g(y) = 0 otherwise] | A1 |
| A1 | Find g(y). AEF |
| Answer | Marks | Guidance |
|---|---|---|
| 10(iii) | ( ) | |
| ( 1/30 ) −8/y 1 2 + y2 3 −14y 1 2 +24 =0.8 | M1 | Set G(y) = 0⋅8 |
| Answer | Marks | Guidance |
|---|---|---|
| [rejecting 7 – √57; allow 14⋅6] | M1 A1 | Rearrange to give quadratic in y and solve to find value of y |
| Answer | Marks | Guidance |
|---|---|---|
| Question | Answer | Marks |
| 11A(i) | 10 (AP – 0⋅6) / 0⋅6 = 20 (1⋅2 – AP – 0⋅4) / 0⋅4 | M1 A1 |
| Answer | Marks | Guidance |
|---|---|---|
| AP = 0⋅75 [m] | A1 | AG |
| Answer | Marks |
|---|---|
| 11A(ii) | m d2x/dt2 = – 10 (0⋅15 + x) / 0⋅6 + 20 (0⋅05 – x) / 0⋅4 |
| or m d2x/dt2 = + 10 (0⋅15 – x) / 0⋅6 – 20 (0⋅05 + x) / 0⋅4 | M1 |
| A1 A1 | Apply Newton’s law at 0⋅75 + x or 0⋅75 – x from A |
| Answer | Marks | Guidance |
|---|---|---|
| ⅔ d2x/dt2 = – (80 / 1⋅2) x , d2x/dt2 = – 100 x | M1 A1 | Simplify to give SHM eqn. in standard form |
| T = 2π/ω = 2π/10 = π/5 or 0⋅628 [s] | DB1 | State the period T with FT on ω from SHM eqn. |
| Answer | Marks |
|---|---|
| 11A(iii) | (a = 0⋅75 – 0⋅7 = 0⋅05) |
| Answer | Marks | Guidance |
|---|---|---|
| max | M1 | Find speed at equilibrium position from ωa |
| Answer | Marks |
|---|---|
| max | A1 |
| Answer | Marks | Guidance |
|---|---|---|
| 11A(iv) | x = a/2 = 0⋅025 | M1 |
| v = ω √ (a2 – x2) = 10 √ (0⋅052 – 0⋅0252) | M1 | |
| v = 0⋅433 [m s-1] | A1 | Find corresponding speed |
| Answer | Marks | Guidance |
|---|---|---|
| Question | Answer | Marks |
| 11B(i) | x = (1/40) Σ x f(x) = 68/40 = 1⋅7 | B1 |
| (1/40) Σ x2 f(x) = 178/40 = 4⋅45, Var = 4⋅45 – 1⋅72 = 1⋅56 | B1 | Find variance of sample |
| Mean and variance are similar so Poisson may be suitable | B1 | State valid comment |
| Answer | Marks | Guidance |
|---|---|---|
| 11B(ii) | a = 40 × 1⋅65 e–1⋅6 /5! = 40 × 0⋅01764 | M1 |
| a = 0⋅706 | A1 | Verify a from Poisson term |
| b = 40 – 39⋅758 = 0⋅242 | B1* | Find b |
| Answer | Marks | Guidance |
|---|---|---|
| 11B(iii) | H : Distribution fits/models data | |
| 0 | B1 | State (at least) null hypothesis in full |
| Answer | Marks |
|---|---|
| i | DM1 |
| A1 | Combine values consistent with all exp. values ⩾ 5 |
| Answer | Marks | Guidance |
|---|---|---|
| X2 = 0⋅5337 + 0⋅3345 + 0⋅1729 + 0⋅2053 = 1⋅25 | M1 | Find value of X 2 from Σ (E – O)2 / E [or Σ O2/E – n ] |
| Answer | Marks |
|---|---|
| X2 = 1⋅25 | A1 |
| Answer | Marks | Guidance |
|---|---|---|
| n-1, 0.9 | DB1 | State or use consistent tabular value χ 2 (to 3 s.f.) |
| Answer | Marks | Guidance |
|---|---|---|
| 0 | M1 | AEF |
| Answer | Marks | Guidance |
|---|---|---|
| or distn. is a suitable model | A1 | Conclusion (requires both values approx. correct). AEF |
Question 10:
--- 10(i) ---
10(i) | F(x) = ∫ f(x) dx = (1/30) (– 8/x + x3 – 14x) [+ c] | M1 | Find or state distribution function F(x) for 2 ⩽ x ⩽ 4
F(x) = (1/30) (– 8/x + x3 – 14x + 24) | M1 | Using F(2) = 0 or F(4) = 1 to find c if necessary. AEF
F(x) = 0 (x < or ⩽ 2), F(x) = 1 ( x > or ⩾ 4) | A1 | State F(x) for other values of x
3
--- 10(ii) ---
10(ii) | G(y) = P(Y < y) = P(X2 < y)
G(y) = P(X < √y) = F(√y)
( )
G(y) = ( 1/30 ) −8/y 1 2 + y2 3 −14y 1 2 +24 | M1
A1 | Find or state G(y) for 2 ⩽ x ⩽ 4 from Y = X2
(allow < or ⩽ throughout)
Alternative method for question 10(ii)
Use x= y 1 2 to find
f ( x )=( 1/30 )( 8/y+3y−14 ) , dx =− 1 y−1 2
dy 2 | (M1
A1) | dx ( )=f ( )× dy
Find f(x) and for use in g y x
dy dx
( )
g ( y ) [=G′ ( y ) ]=( 1/30 ) 4/y 3 2 +( 3/2 ) y 1 2 −7/y 1 2
for 4 ⩽ y ⩽ 16 [g(y) = 0 otherwise] | A1
A1 | Find g(y). AEF
State corresponding range of y for G(y) or g(y)
4
--- 10(iii) ---
10(iii) | ( )
( 1/30 ) −8/y 1 2 + y2 3 −14y 1 2 +24 =0.8 | M1 | Set G(y) = 0⋅8
– 8 + y2 – 14 y = 0, y = 7 + √57 or 14⋅5[5]
[rejecting 7 – √57; allow 14⋅6] | M1 A1 | Rearrange to give quadratic in y and solve to find value of y
3
Question | Answer | Marks | Guidance
11A(i) | 10 (AP – 0⋅6) / 0⋅6 = 20 (1⋅2 – AP – 0⋅4) / 0⋅4 | M1 A1 | Verify AP by equating equilibrium tensions. AEF
4 AP – 2⋅4 = 9⋅6 – 12 AP
AP = 0⋅75 [m] | A1 | AG
3
11A(ii) | m d2x/dt2 = – 10 (0⋅15 + x) / 0⋅6 + 20 (0⋅05 – x) / 0⋅4
or m d2x/dt2 = + 10 (0⋅15 – x) / 0⋅6 – 20 (0⋅05 + x) / 0⋅4 | M1
A1 A1 | Apply Newton’s law at 0⋅75 + x or 0⋅75 – x from A
(M1 requires LHS and 2 tensions: A1 for each correct tension)
⅔ d2x/dt2 = – (80 / 1⋅2) x , d2x/dt2 = – 100 x | M1 A1 | Simplify to give SHM eqn. in standard form
T = 2π/ω = 2π/10 = π/5 or 0⋅628 [s] | DB1 | State the period T with FT on ω from SHM eqn.
6
11A(iii) | (a = 0⋅75 – 0⋅7 = 0⋅05)
v = ω × a
max | M1 | Find speed at equilibrium position from ωa
v = 0⋅5 [m s–1]
max | A1
2
11A(iv) | x = a/2 = 0⋅025 | M1 | Find value of x giving half max. acceln.
v = ω √ (a2 – x2) = 10 √ (0⋅052 – 0⋅0252) | M1
v = 0⋅433 [m s-1] | A1 | Find corresponding speed
3
Question | Answer | Marks | Guidance
11B(i) | x = (1/40) Σ x f(x) = 68/40 = 1⋅7 | B1 | Find mean of sample
(1/40) Σ x2 f(x) = 178/40 = 4⋅45, Var = 4⋅45 – 1⋅72 = 1⋅56 | B1 | Find variance of sample
Mean and variance are similar so Poisson may be suitable | B1 | State valid comment
3
11B(ii) | a = 40 × 1⋅65 e–1⋅6 /5! = 40 × 0⋅01764 | M1 | AG
a = 0⋅706 | A1 | Verify a from Poisson term
b = 40 – 39⋅758 = 0⋅242 | B1* | Find b
3
11B(iii) | H : Distribution fits/models data
0 | B1 | State (at least) null hypothesis in full
O: 6 15 9 10
i
E: 8⋅076 12⋅921 10⋅337 8⋅666
i | DM1
A1 | Combine values consistent with all exp. values ⩾ 5
(FT on b, dep B1*)
X2 = 0⋅5337 + 0⋅3345 + 0⋅1729 + 0⋅2053 = 1⋅25 | M1 | Find value of X 2 from Σ (E – O)2 / E [or Σ O2/E – n ]
i i i i i
X2 = 1⋅25 | A1
No. n of cells: 7 6 5 4 3
χ 2: 10⋅64 9⋅236 7.779 6⋅251 4⋅605
n-1, 0.9 | DB1 | State or use consistent tabular value χ 2 (to 3 s.f.)
n–1, 0.9
[FT on number, n, of cells used to find X2]
Accept H if X 2 < tabular value (using their values)
0 | M1 | AEF
1⋅25 [± 0⋅1] < 6⋅25 so distn. fits [data]
or distn. is a suitable model | A1 | Conclusion (requires both values approx. correct). AEF
8
PMT
9231/21 Cambridge International A Level – Mark Scheme October/November 2019
PUBLISHED
© UCLES 2019 Page 16 of 16
The random variable $X$ has probability density function f given by
$$\mathrm{f}(x) = \begin{cases} \frac{1}{30}\left(\frac{8}{x^2} + 3x^2 - 14\right) & 2 \leqslant x \leqslant 4, \\ 0 & \text{otherwise}. \end{cases}$$
\begin{enumerate}[label=(\roman*)]
\item Find the distribution function of $X$.
[3]
\end{enumerate}
The random variable $Y$ is defined by $Y = X^2$.
\begin{enumerate}[label=(\roman*)]
\setcounter{enumi}{1}
\item Find the probability density function of $Y$.
[4]
\item Find the value of $y$ such that $\mathrm{P}(Y < y) = 0.8$.
[3]
\end{enumerate}
\hfill \mbox{\textit{CAIE FP2 2019 Q10 [10]}}