CAIE FP2 2019 November — Question 10 10 marks

Exam BoardCAIE
ModuleFP2 (Further Pure Mathematics 2)
Year2019
SessionNovember
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicCumulative distribution functions
TypePDF of transformed variable
DifficultyStandard +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.
Spec5.03a Continuous random variables: pdf and cdf5.03e Find cdf: by integration5.03g Cdf of transformed variables

The random variable \(X\) has probability density function f given by $$\mathrm{f}(x) = \begin{cases} \frac{1}{30}\left(\frac{8}{x^2} + 3x^2 - 14\right) & 2 \leqslant x \leqslant 4, \\ 0 & \text{otherwise}. \end{cases}$$
  1. Find the distribution function of \(X\). [3]
The random variable \(Y\) is defined by \(Y = X^2\).
  1. Find the probability density function of \(Y\). [4]
  2. Find the value of \(y\) such that \(\mathrm{P}(Y < y) = 0.8\). [3]

Question 10:

AnswerMarks 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
3

AnswerMarks
10(ii)G(y) = P(Y < y) = P(X2 < y)
G(y) = P(X < √y) = F(√y)
( )
AnswerMarks
G(y) = ( 1/30 ) −8/y 1 2 + y2 3 −14y 1 2 +24M1
A1Find 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
AnswerMarks
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
AnswerMarks
for 4 ⩽ y ⩽ 16 [g(y) = 0 otherwise]A1
A1Find g(y). AEF
State corresponding range of y for G(y) or g(y)
4

AnswerMarks Guidance
10(iii)( )
( 1/30 ) −8/y 1 2 + y2 3 −14y 1 2 +24 =0.8M1 Set G(y) = 0⋅8
– 8 + y2 – 14 y = 0, y = 7 + √57 or 14⋅5[5]
AnswerMarks Guidance
[rejecting 7 – √57; allow 14⋅6]M1 A1 Rearrange to give quadratic in y and solve to find value of y
3
AnswerMarks Guidance
QuestionAnswer Marks
11A(i)10 (AP – 0⋅6) / 0⋅6 = 20 (1⋅2 – AP – 0⋅4) / 0⋅4 M1 A1
4 AP – 2⋅4 = 9⋅6 – 12 AP
AnswerMarks Guidance
AP = 0⋅75 [m]A1 AG
3
AnswerMarks
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⋅4M1
A1 A1Apply Newton’s law at 0⋅75 + x or 0⋅75 – x from A
(M1 requires LHS and 2 tensions: A1 for each correct tension)
AnswerMarks Guidance
⅔ d2x/dt2 = – (80 / 1⋅2) x , d2x/dt2 = – 100 xM1 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
AnswerMarks
11A(iii)(a = 0⋅75 – 0⋅7 = 0⋅05)
v = ω × a
AnswerMarks Guidance
maxM1 Find speed at equilibrium position from ωa
v = 0⋅5 [m s–1]
AnswerMarks
maxA1
2
AnswerMarks 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
3
AnswerMarks Guidance
QuestionAnswer 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⋅56B1 Find variance of sample
Mean and variance are similar so Poisson may be suitableB1 State valid comment
3
AnswerMarks Guidance
11B(ii)a = 40 × 1⋅65 e–1⋅6 /5! = 40 × 0⋅01764 M1
a = 0⋅706A1 Verify a from Poisson term
b = 40 – 39⋅758 = 0⋅242B1* Find b
3
AnswerMarks Guidance
11B(iii)H : Distribution fits/models data
0B1 State (at least) null hypothesis in full
O: 6 15 9 10
i
E: 8⋅076 12⋅921 10⋅337 8⋅666
AnswerMarks
iDM1
A1Combine values consistent with all exp. values ⩾ 5
(FT on b, dep B1*)
AnswerMarks Guidance
X2 = 0⋅5337 + 0⋅3345 + 0⋅1729 + 0⋅2053 = 1⋅25M1 Find value of X 2 from Σ (E – O)2 / E [or Σ O2/E – n ]
i i i i i
AnswerMarks
X2 = 1⋅25A1
No. n of cells: 7 6 5 4 3
χ 2: 10⋅64 9⋅236 7.779 6⋅251 4⋅605
AnswerMarks Guidance
n-1, 0.9DB1 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)
AnswerMarks Guidance
0M1 AEF
1⋅25 [± 0⋅1] < 6⋅25 so distn. fits [data]
AnswerMarks Guidance
or distn. is a suitable modelA1 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
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]}}