Pre-U Pre-U 9795/2 2017 June — Question 6 11 marks

Exam BoardPre-U
ModulePre-U 9795/2 (Pre-U Further Mathematics Paper 2)
Year2017
SessionJune
Marks11
TopicMoment generating functions
TypeMGF series expansion
DifficultyStandard +0.8 This question requires computing an MGF integral that yields a non-standard function (sinh t/t), then manipulating the series expansion of sinh t to extract moments. While the integration is straightforward, recognizing how to extract E(X^4) from the series expansion requires careful coefficient matching and understanding of MGF theory beyond routine application. This is moderately challenging for Further Maths students.
Spec5.03c Calculate mean/variance: by integration

6 The random variable \(X\) has a uniform distribution on the interval \([ - 1,1 ]\), so that its probability density function is given by $$f ( x ) = \begin{cases} \frac { 1 } { 2 } & - 1 \leqslant x \leqslant 1 \\ 0 & \text { otherwise } \end{cases}$$
  1. Show from the definition of the moment generating function that the moment generating function of \(X\) is \(\frac { \sinh t } { t }\).
  2. By using the series expansion of \(\sinh t\), find the variance of \(X\) and the value of \(\mathrm { E } \left( X ^ { 4 } \right)\).

Part (i):
Attempt \(\int f(x)e^{tx}dx\), correct limits (could be later) M1
\(\int_{-1}^{1} f(x)e^{tx}dx = \int_{-1}^{1} \frac{1}{2}e^{tx}dx\) A1 Correct expression
\(= \dfrac{1}{2t}\left[e^{tx}\right]_{-1}^{1}\) A1 Correct integral AG
\(= \dfrac{e^t - e^{-t}}{2t} = \dfrac{\sinh t}{t}\) A1 Correctly obtain given answer. SC: Using formula for MGF of uniform distribution from formula book: use of formula and substituting \(a=-1\), \(b=1\) M1; correctly obtain given answer A1. Max 2/4.
Part (ii):
\(\dfrac{1}{t}\!\left(t + \dfrac{t^3}{3!} + \dfrac{t^5}{5!} + \ldots\right)\) M1 Correct expansion of \(\sinh t\) used
\(= 1 + \dfrac{t^2}{6} + \dfrac{t^4}{120} + \ldots\) A1 Correct after division by \(t\) (at least 3 terms) soi
\(E(X^2) = M''_X(0) = 2! \times \text{coeff of } t^2 = \frac{1}{3}\) M1 Use \(2!\times\)coeff of \(t^2\) or attempt to diff twice
\(\text{Var}(X) = \frac{1}{3}\) A1 \(\frac{1}{3}\), distinction between \(E(X^2)\) and \(\text{Var}(X)\) made.
\(E(X^4) = 4! \times \text{coeff of } t^4 = \frac{1}{5}\) A1 or \(E(X)\) (or \(M'_X(0)\)) stated to be zero; correctly obtain \(1/5\).

Total: 9 marks

**Part (i):**
Attempt $\int f(x)e^{tx}dx$, correct limits (could be later) **M1**

$\int_{-1}^{1} f(x)e^{tx}dx = \int_{-1}^{1} \frac{1}{2}e^{tx}dx$ **A1** Correct expression

$= \dfrac{1}{2t}\left[e^{tx}\right]_{-1}^{1}$ **A1** Correct integral **AG**

$= \dfrac{e^t - e^{-t}}{2t} = \dfrac{\sinh t}{t}$ **A1** Correctly obtain given answer. SC: Using formula for MGF of uniform distribution from formula book: use of formula and substituting $a=-1$, $b=1$ M1; correctly obtain given answer A1. Max 2/4.

**Part (ii):**
$\dfrac{1}{t}\!\left(t + \dfrac{t^3}{3!} + \dfrac{t^5}{5!} + \ldots\right)$ **M1** Correct expansion of $\sinh t$ used

$= 1 + \dfrac{t^2}{6} + \dfrac{t^4}{120} + \ldots$ **A1** Correct after division by $t$ (at least 3 terms) soi

$E(X^2) = M''_X(0) = 2! \times \text{coeff of } t^2 = \frac{1}{3}$ **M1** Use $2!\times$coeff of $t^2$ or attempt to diff twice

$\text{Var}(X) = \frac{1}{3}$ **A1** $\frac{1}{3}$, distinction between $E(X^2)$ and $\text{Var}(X)$ made.

$E(X^4) = 4! \times \text{coeff of } t^4 = \frac{1}{5}$ **A1** or $E(X)$ (or $M'_X(0)$) stated to be zero; correctly obtain $1/5$.

Total: **9 marks**
6 The random variable $X$ has a uniform distribution on the interval $[ - 1,1 ]$, so that its probability density function is given by

$$f ( x ) = \begin{cases} \frac { 1 } { 2 } & - 1 \leqslant x \leqslant 1 \\ 0 & \text { otherwise } \end{cases}$$

(i) Show from the definition of the moment generating function that the moment generating function of $X$ is $\frac { \sinh t } { t }$.\\
(ii) By using the series expansion of $\sinh t$, find the variance of $X$ and the value of $\mathrm { E } \left( X ^ { 4 } \right)$.

\hfill \mbox{\textit{Pre-U Pre-U 9795/2 2017 Q6 [11]}}