SPS SPS FM Statistics 2021 January — Question 4 7 marks

Exam BoardSPS
ModuleSPS FM Statistics (SPS FM Statistics)
Year2021
SessionJanuary
Marks7
TopicCumulative distribution functions
TypeMode from PDF
DifficultyStandard +0.3 This is a straightforward Further Maths statistics question requiring standard techniques: finding k using F(2)=1, differentiating F to get f, then computing E(X) by integration and finding the mode by maximizing f. All steps are routine applications of well-practiced methods with no conceptual surprises, making it slightly easier than average.
Spec5.03a Continuous random variables: pdf and cdf5.03c Calculate mean/variance: by integration5.03f Relate pdf-cdf: medians and percentiles

The continuous random variable \(X\) has cumulative distribution function given by $$F(x) = \begin{cases} 0 & x \leq 0 \\ k\left(x^3 - \frac{3}{8}x^4\right) & 0 < x \leq 2 \\ 1 & x > 2 \end{cases}$$ where \(k\) is a constant.
  1. Show that \(k = \frac{1}{2}\) [1]
  2. Showing your working clearly, use calculus to find
    1. E(\(X\))
    2. the mode of \(X\)
    [6]

The continuous random variable $X$ has cumulative distribution function given by

$$F(x) = \begin{cases}
0 & x \leq 0 \\
k\left(x^3 - \frac{3}{8}x^4\right) & 0 < x \leq 2 \\
1 & x > 2
\end{cases}$$

where $k$ is a constant.

\begin{enumerate}[label=(\alph*)]
\item Show that $k = \frac{1}{2}$ [1]

\item Showing your working clearly, use calculus to find
\begin{enumerate}[label=(\roman*)]
\item E($X$)
\item the mode of $X$
\end{enumerate}
[6]
\end{enumerate}

\hfill \mbox{\textit{SPS SPS FM Statistics 2021 Q4 [7]}}