Edexcel S2 — Question 5 14 marks

Exam BoardEdexcel
ModuleS2 (Statistics 2)
Marks14
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicCumulative distribution functions
TypeContinuous CDF with polynomial pieces
DifficultyStandard +0.3 This is a standard S2 CDF question requiring routine techniques: finding k using F(1.5)=1, differentiating to get pdf, computing E(T) by integration, and applying conditional probability. All steps are methodical with no novel insight required, making it slightly easier than average.
Spec5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf5.03c Calculate mean/variance: by integration5.03e Find cdf: by integration5.03f Relate pdf-cdf: medians and percentiles

5. The continuous random variable \(T\) represents the time in hours that students spend on homework. The cumulative distribution function of \(T\) is $$\mathrm { F } ( t ) = \begin{cases} 0 , & t < 0 \\ k \left( 2 t ^ { 3 } - t ^ { 4 } \right) & 0 \leq t \leq 1.5 \\ 1 , & t > 1.5 \end{cases}$$ where \(k\) is a positive constant.
  1. Show that \(k = \frac { 16 } { 27 }\).
  2. Find the proportion of students who spend more than 1 hour on homework.
  3. Find the probability density function \(\mathrm { f } ( t )\) of \(T\).
  4. Show that \(\mathrm { E } ( T ) = 0.9\).
  5. Show that \(\mathrm { F } ( \mathrm { E } ( T ) ) = 0.4752\). A student is selected at random. Given that the student spent more than the mean amount of time on homework,
  6. find the probability that this student spent more than 1 hour on homework.

Question 5:
Part (a):
AnswerMarks Guidance
\(F(1.5) = 1 \Rightarrow k(2 \times (1.5)^3 - (1.5)^4) = 1\); \(k\left(\frac{108-81}{16}\right) = 1 \therefore k = \frac{16}{27}\)M1, A1 cso (2)
Part (b):
AnswerMarks Guidance
\(P(T > 1) = 1 - F(1) = 1 - \frac{16}{27}(2-1) = \frac{11}{27}\)M1, A1 (2)
Part (c):
AnswerMarks Guidance
\(f(t) = F'(t) = \frac{16}{27}(6t^2 - 4t^3)\)M1, A1
\(f(t) = \begin{cases} \frac{32}{27}(3t^2 - 2t^3) & 0 \leq t \leq 1.5 \\ 0 & \text{otherwise} \end{cases}\)B1 Full definition (3)
Part (d):
AnswerMarks Guidance
\(E(T) = \int_0^{1.5} t\,f(t)\,dt = \frac{32}{27}\int_0^{1.5}(3t^3 - 2t^4)\,dt\)M1 \(\int t\,f(t)\)
\(= \frac{32}{27}\left[\frac{3t^4}{4} - \frac{2t^5}{5}\right]_0^{1.5}\)A1
\(= \frac{32}{27}\left[\left(\frac{243}{64} - \frac{2}{5}\times\frac{243}{32}\right) - (0)\right]\)
\(= \frac{9}{2} - \frac{18}{5} = 0.9\)A1 cso (3)
Part (e):
AnswerMarks Guidance
\(F(E(T)) = \frac{16}{27}(2 \times 0.9^3 - 0.9^4) = 0.4752\)B1 evidence seen
Part (f):
AnswerMarks Guidance
\(P(T > 1 \mid T > 0.9) = \frac{P(T>1)}{P(T>0.9)} = \frac{\text{part }(b)}{1 - \text{part }(e)} = 0.7763\ldots\)M1, M1, A1 accept awrt 0.776 (3)
## Question 5:

### Part (a):
| $F(1.5) = 1 \Rightarrow k(2 \times (1.5)^3 - (1.5)^4) = 1$; $k\left(\frac{108-81}{16}\right) = 1 \therefore k = \frac{16}{27}$ | M1, A1 cso | (2) |
|---|---|---|

### Part (b):
| $P(T > 1) = 1 - F(1) = 1 - \frac{16}{27}(2-1) = \frac{11}{27}$ | M1, A1 | (2) |
|---|---|---|

### Part (c):
| $f(t) = F'(t) = \frac{16}{27}(6t^2 - 4t^3)$ | M1, A1 | |
|---|---|---|
| $f(t) = \begin{cases} \frac{32}{27}(3t^2 - 2t^3) & 0 \leq t \leq 1.5 \\ 0 & \text{otherwise} \end{cases}$ | B1 | Full definition (3) |

### Part (d):
| $E(T) = \int_0^{1.5} t\,f(t)\,dt = \frac{32}{27}\int_0^{1.5}(3t^3 - 2t^4)\,dt$ | M1 | $\int t\,f(t)$ |
|---|---|---|
| $= \frac{32}{27}\left[\frac{3t^4}{4} - \frac{2t^5}{5}\right]_0^{1.5}$ | A1 | |
| $= \frac{32}{27}\left[\left(\frac{243}{64} - \frac{2}{5}\times\frac{243}{32}\right) - (0)\right]$ | | |
| $= \frac{9}{2} - \frac{18}{5} = 0.9$ | A1 cso | (3) |

### Part (e):
| $F(E(T)) = \frac{16}{27}(2 \times 0.9^3 - 0.9^4) = 0.4752$ | B1 | evidence seen |
|---|---|---|

### Part (f):
| $P(T > 1 \mid T > 0.9) = \frac{P(T>1)}{P(T>0.9)} = \frac{\text{part }(b)}{1 - \text{part }(e)} = 0.7763\ldots$ | M1, M1, A1 | accept awrt 0.776 (3) |
|---|---|---|

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5. The continuous random variable $T$ represents the time in hours that students spend on homework. The cumulative distribution function of $T$ is

$$\mathrm { F } ( t ) = \begin{cases} 0 , & t < 0 \\ k \left( 2 t ^ { 3 } - t ^ { 4 } \right) & 0 \leq t \leq 1.5 \\ 1 , & t > 1.5 \end{cases}$$

where $k$ is a positive constant.
\begin{enumerate}[label=(\alph*)]
\item Show that $k = \frac { 16 } { 27 }$.
\item Find the proportion of students who spend more than 1 hour on homework.
\item Find the probability density function $\mathrm { f } ( t )$ of $T$.
\item Show that $\mathrm { E } ( T ) = 0.9$.
\item Show that $\mathrm { F } ( \mathrm { E } ( T ) ) = 0.4752$.

A student is selected at random. Given that the student spent more than the mean amount of time on homework,
\item find the probability that this student spent more than 1 hour on homework.
\end{enumerate}

\hfill \mbox{\textit{Edexcel S2  Q5 [14]}}