CAIE FP2 2013 November — Question 6 5 marks

Exam BoardCAIE
ModuleFP2 (Further Pure Mathematics 2)
Year2013
SessionNovember
Marks5
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicExponential Distribution
TypeState distribution and mean
DifficultyEasy -1.8 This question requires only direct recall of standard exponential distribution properties: recognizing λ=0.2, stating E(T)=1/λ=5, writing the standard CDF F(t)=1-e^(-0.2t), and computing a single probability. No problem-solving or derivation needed—pure bookwork application.
Spec5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf

6 The random variable \(T\) is the time, in suitable units, between two successive arrivals in a hospital casualty department. The probability density function of \(T\) is f , where $$\mathrm { f } ( t ) = \begin{cases} 0.2 \mathrm { e } ^ { - 0.2 t } & t \geqslant 0 \\ 0 & \text { otherwise } \end{cases}$$ State the expected value of \(T\). Write down the distribution function of \(T\) and find \(\mathrm { P } ( T > 10 )\).

Question 6:
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(E(T) = \frac{1}{0.2} = 5\)B1 State or find \(E(T)\)
\(F(t) = 1 - \exp(-0.2t)\) for \(t \geq 0\)B1 State or find distribution function
\(= 0\) (otherwise, \(t < 0\))B1
\(P(T > 10) = 1 - F(10) = 1 - (1 - e^{-2})\)M1 Find \(P(T > 10)\)
\(= e^{-2}\) or \(0.135\)A1
## Question 6:

| Answer/Working | Marks | Guidance |
|---|---|---|
| $E(T) = \frac{1}{0.2} = 5$ | B1 | State or find $E(T)$ |
| $F(t) = 1 - \exp(-0.2t)$ for $t \geq 0$ | B1 | State or find distribution function |
| $= 0$ (otherwise, $t < 0$) | B1 | |
| $P(T > 10) = 1 - F(10) = 1 - (1 - e^{-2})$ | M1 | Find $P(T > 10)$ |
| $= e^{-2}$ or $0.135$ | A1 | |

---
6 The random variable $T$ is the time, in suitable units, between two successive arrivals in a hospital casualty department. The probability density function of $T$ is f , where

$$\mathrm { f } ( t ) = \begin{cases} 0.2 \mathrm { e } ^ { - 0.2 t } & t \geqslant 0 \\ 0 & \text { otherwise } \end{cases}$$

State the expected value of $T$.

Write down the distribution function of $T$ and find $\mathrm { P } ( T > 10 )$.

\hfill \mbox{\textit{CAIE FP2 2013 Q6 [5]}}