OCR S4 2016 June — Question 6 13 marks

Exam BoardOCR
ModuleS4 (Statistics 4)
Year2016
SessionJune
Marks13
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicProbability Generating Functions
TypeMultiple independent coins/dice
DifficultyStandard +0.3 This is a straightforward application of standard PGF techniques for Further Maths S4. Part (i) requires constructing a PGF for two independent biased coins (routine), (ii) uses the independence property G_Z = G_X × G_Y (standard result), (iii) applies standard formulas E(Z) = G'(1) and Var(Z) = G''(1) + G'(1) - [G'(1)]², and (iv) simply reads off a coefficient. All steps are mechanical applications of learned techniques with no novel problem-solving required.
Spec5.02g Geometric probabilities: P(X=r) = p(1-p)^(r-1)5.02h Geometric: mean 1/p and variance (1-p)/p^25.04a Linear combinations: E(aX+bY), Var(aX+bY)

6 Andrew has five coins. Three of them are unbiased. The other two are biased such that the probability of obtaining a head when one of them is tossed is \(\frac { 3 } { 5 }\). Andrew tosses all five coins. It is given that the probability generating function of \(X\), the number of heads obtained on the unbiased coins, is \(\mathrm { G } _ { X } ( t )\), where $$\mathrm { G } _ { X } ( t ) = \frac { 1 } { 8 } + \frac { 3 } { 8 } t + \frac { 3 } { 8 } t ^ { 2 } + \frac { 1 } { 8 } t ^ { 3 }$$
  1. Find \(G _ { Y } ( \mathrm { t } )\), the probability generating function of \(Y\), the number of heads on the biased coins.
  2. The random variable \(Z\) is the total number of heads obtained when Andrew tosses all five coins. Find the probability generating function of \(Z\), giving your answer as a polynomial.
  3. Find \(\mathrm { E } ( Z )\) and \(\operatorname { Var } ( Z )\).
  4. Write down the value of \(\mathrm { P } ( Z = 3 )\).

Question 6:
Part (i):
AnswerMarks Guidance
AnswerMarks Guidance
\(P(0) = 0.16\), \(P(1) = 0.48\), \(P(2) = 0.36\)B1
\(G_X(t) = 0.16 + 0.48t + 0.36t^2\)M1A1
[3]
Part (ii):
AnswerMarks Guidance
AnswerMarks Guidance
\(G_X(t) \times G_Y(t)\) soiM1
\(0.02 + 0.12t + 0.285t^2 + 0.335t^3 + 0.195t^4 + 0.045t^5\)A1A1 At least 4 terms correct; All correct
[3]
Part (iii):
AnswerMarks Guidance
AnswerMarks Guidance
\(E(Z) = G_Z'(1)\ [= 0.12 + 0.57t + 1.005t^2 + 0.78t^3 + 0.225t^4]\)M1 Differentiate
Sub \(t=1\)M1dep
\(2.7\)A1
Attempt 2nd derivative of \(G_Z\)M1
Attempt \(G''(1) + G'(1) - (G'(1))^2\ (G''(1) = 5.82)\)M1dep -ve var, M0
\(1.23\)A1
Alternative methods: \(3\times0.5\) or \(2\times0.6\); added: \(2.7\) M1M1A1; \(3\times0.5\times0.5\) or \(2\times0.6\times0.4\); added: \(1.23\) M1M1A1
\(P(Z=0)=0.02\) etc B1; \(E(Z)=\Sigma zp=2.7\) M1A1; \(E(Z^2)=\Sigma z^2p=(8.52)\) M1; \(-2.7^2\) M1; \(1.23\) A1
[6]
Part (iv):
AnswerMarks Guidance
AnswerMarks Guidance
\(0.335\)B1ft Coeff \(t^3\) from (ii)
[1]
# Question 6:

## Part (i):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $P(0) = 0.16$, $P(1) = 0.48$, $P(2) = 0.36$ | B1 | |
| $G_X(t) = 0.16 + 0.48t + 0.36t^2$ | M1A1 | |
| **[3]** | | |

## Part (ii):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $G_X(t) \times G_Y(t)$ soi | M1 | |
| $0.02 + 0.12t + 0.285t^2 + 0.335t^3 + 0.195t^4 + 0.045t^5$ | A1A1 | At least 4 terms correct; All correct |
| **[3]** | | |

## Part (iii):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $E(Z) = G_Z'(1)\ [= 0.12 + 0.57t + 1.005t^2 + 0.78t^3 + 0.225t^4]$ | M1 | Differentiate |
| Sub $t=1$ | M1dep | |
| $2.7$ | A1 | |
| Attempt 2nd derivative of $G_Z$ | M1 | |
| Attempt $G''(1) + G'(1) - (G'(1))^2\ (G''(1) = 5.82)$ | M1dep | -ve var, M0 |
| $1.23$ | A1 | |
| Alternative methods: $3\times0.5$ or $2\times0.6$; added: $2.7$ M1M1A1; $3\times0.5\times0.5$ or $2\times0.6\times0.4$; added: $1.23$ M1M1A1 | | |
| $P(Z=0)=0.02$ etc B1; $E(Z)=\Sigma zp=2.7$ M1A1; $E(Z^2)=\Sigma z^2p=(8.52)$ M1; $-2.7^2$ M1; $1.23$ A1 | | |
| **[6]** | | |

## Part (iv):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $0.335$ | B1ft | Coeff $t^3$ from (ii) |
| **[1]** | | |

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6 Andrew has five coins. Three of them are unbiased. The other two are biased such that the probability of obtaining a head when one of them is tossed is $\frac { 3 } { 5 }$.

Andrew tosses all five coins. It is given that the probability generating function of $X$, the number of heads obtained on the unbiased coins, is $\mathrm { G } _ { X } ( t )$, where

$$\mathrm { G } _ { X } ( t ) = \frac { 1 } { 8 } + \frac { 3 } { 8 } t + \frac { 3 } { 8 } t ^ { 2 } + \frac { 1 } { 8 } t ^ { 3 }$$

(i) Find $G _ { Y } ( \mathrm { t } )$, the probability generating function of $Y$, the number of heads on the biased coins.\\
(ii) The random variable $Z$ is the total number of heads obtained when Andrew tosses all five coins. Find the probability generating function of $Z$, giving your answer as a polynomial.\\
(iii) Find $\mathrm { E } ( Z )$ and $\operatorname { Var } ( Z )$.\\
(iv) Write down the value of $\mathrm { P } ( Z = 3 )$.

\hfill \mbox{\textit{OCR S4 2016 Q6 [13]}}