Edexcel FS2 2019 June — Question 4 8 marks

Exam BoardEdexcel
ModuleFS2 (Further Statistics 2)
Year2019
SessionJune
Marks8
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicCumulative distribution functions
TypeCDF with additional constraints
DifficultyStandard +0.3 This is a standard Further Statistics 2 CDF question requiring routine techniques: finding k from F(2)=1, differentiating to get pdf for E(X) and mode, and comparing mode/mean for skewness. All steps are algorithmic with no novel insight required, making it slightly easier than average A-level difficulty.
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

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

Question 4(a):
AnswerMarks Guidance
Answer/WorkingMark Guidance
\(k\left(2^3 - \frac{3}{8}2^4\right) = 1\), giving \(2k=1\), \(k=\frac{1}{2}\)B1* Substituting \(x=2\) into \(F(x)\) and equating to 1; minimum substitution seen is \(k(8-6)=1\)
Question 4(b)(i):
AnswerMarks Guidance
Answer/WorkingMark Guidance
\(f(x) = k\left[3x^2 - \frac{3}{2}x^3\right]\)M1 Realising need to find pdf and differentiating; at least 1 correct term
\(\int_0^2 xf(x)\,dx = k\int_0^2\left(3x^3 - \frac{3}{2}x^4\right)dx\)M1d Dependent on 1st M1; at least one correct term ft their pdf
\(= \left[\frac{3x^4}{8} - \frac{3x^5}{20}\right]_0^2\)
\(= \frac{6}{5}\) or \(1.2\)A1 NB 1.2 with no working gains M0M0A0
Question 4(b)(ii):
AnswerMarks Guidance
Answer/WorkingMark Guidance
\(3x - \frac{9x^2}{4} = 0\)M1d Dependent on 1st M1; at least one correct term ft their pdf
\(x\left(3 - \frac{9x}{4}\right) = 0\)M1d Dep on 3rd M1; correct method for solving; pdf must be of form \(ax^2+bx\)
\(x=0\) or \(\frac{4}{3}\), \(\therefore\) mode \(= \frac{4}{3}\)A1 \(\therefore\) mode \(= \frac{4}{3}\) only; must eliminate 0
Question 4(c):
AnswerMarks Guidance
Answer/WorkingMark Guidance
Mode \(>\) mean implies negative skewB1ft ft their mode and mean or a correct sketch
# Question 4(a):

| Answer/Working | Mark | Guidance |
|---|---|---|
| $k\left(2^3 - \frac{3}{8}2^4\right) = 1$, giving $2k=1$, $k=\frac{1}{2}$ | B1* | Substituting $x=2$ into $F(x)$ and equating to 1; minimum substitution seen is $k(8-6)=1$ |

# Question 4(b)(i):

| Answer/Working | Mark | Guidance |
|---|---|---|
| $f(x) = k\left[3x^2 - \frac{3}{2}x^3\right]$ | M1 | Realising need to find pdf and differentiating; at least 1 correct term |
| $\int_0^2 xf(x)\,dx = k\int_0^2\left(3x^3 - \frac{3}{2}x^4\right)dx$ | M1d | Dependent on 1st M1; at least one correct term ft their pdf |
| $= \left[\frac{3x^4}{8} - \frac{3x^5}{20}\right]_0^2$ | | |
| $= \frac{6}{5}$ or $1.2$ | A1 | NB 1.2 with no working gains M0M0A0 |

# Question 4(b)(ii):

| Answer/Working | Mark | Guidance |
|---|---|---|
| $3x - \frac{9x^2}{4} = 0$ | M1d | Dependent on 1st M1; at least one correct term ft their pdf |
| $x\left(3 - \frac{9x}{4}\right) = 0$ | M1d | Dep on 3rd M1; correct method for solving; pdf must be of form $ax^2+bx$ |
| $x=0$ or $\frac{4}{3}$, $\therefore$ mode $= \frac{4}{3}$ | A1 | $\therefore$ mode $= \frac{4}{3}$ only; must eliminate 0 |

# Question 4(c):

| Answer/Working | Mark | Guidance |
|---|---|---|
| Mode $>$ mean implies negative skew | B1ft | ft their mode and mean or a correct sketch |

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

$$\mathrm { F } ( x ) = \left\{ \begin{array} { c c } 
0 & x \leqslant 0 \\
k \left( x ^ { 3 } - \frac { 3 } { 8 } x ^ { 4 } \right) & 0 < x \leqslant 2 \\
1 & x > 2
\end{array} \right.$$

where $k$ is a constant.
\begin{enumerate}[label=(\alph*)]
\item Show that $k = \frac { 1 } { 2 }$
\item Showing your working clearly, use calculus to find
\begin{enumerate}[label=(\roman*)]
\item $\mathrm { E } ( X )$
\item the mode of $X$
\end{enumerate}\item Describe, giving a reason, the skewness of the distribution of $X$
\end{enumerate}

\hfill \mbox{\textit{Edexcel FS2 2019 Q4 [8]}}