Edexcel S2 2014 June — Question 7 14 marks

Exam BoardEdexcel
ModuleS2 (Statistics 2)
Year2014
SessionJune
Marks14
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicContinuous Uniform Random Variables
TypeBreaking/cutting problems
DifficultyStandard +0.3 This is a straightforward S2 continuous uniform distribution question requiring standard techniques: identifying U(0,9), calculating P(X>6) = 1/3, forming R = X(9-X) = -X² + 9X, finding E(R) using E(X²) and E(X), and solving a quadratic inequality. All steps are routine applications of formulas with no novel insight required, making it slightly easier than average.
Spec5.02e Discrete uniform distribution5.03c Calculate mean/variance: by integration

7. A piece of string \(A B\) has length 9 cm . The string is cut at random at a point \(P\) and the random variable \(X\) represents the length of the piece of string \(A P\).
  1. Write down the distribution of \(X\).
  2. Find the probability that the length of the piece of string \(A P\) is more than 6 cm . The two pieces of string \(A P\) and \(P B\) are used to form two sides of a rectangle. The random variable \(R\) represents the area of the rectangle.
  3. Show that \(R = a X ^ { 2 } + b X\) and state the values of the constants \(a\) and \(b\).
  4. Find \(\mathrm { E } ( R )\).
  5. Find the probability that \(R\) is more than twice the area of a square whose side has the length of the piece of string \(A P\).

Question 7:
Part (a)
AnswerMarks Guidance
AnswerMark Guidance
\(X \sim U[0, 9]\)B1 For \(X \sim U[0,9]\) or "continuous uniform"/"rectangular" distribution with correct range. Or allow pdf \(f(x) = \frac{1}{9}\), \(0 \leq x \leq 9\), \(0\) otherwise
(1)
Part (b)
AnswerMarks Guidance
AnswerMark Guidance
\(P(X > 6) = \frac{1}{3}\) oe, allow awrt 0.333B1
(1)
Part (c)
AnswerMarks Guidance
AnswerMark Guidance
\(R = X(9-X)\), \(= 9X - X^2\)M1, A1 M1 for \(X(9-X)\) or \(9X - X^2\) may be implied by correct answer. A1 for \(9X - X^2\) or \(a=-1\) and \(b=9\)
(2)
Part (d)
AnswerMarks Guidance
AnswerMark Guidance
\(E(X) = 4.5\)B1 1st B1 for 4.5, may be implied
\(\text{Var}(X) = \frac{81}{12} = \frac{27}{4}\) or \(E(X^2) = \int_0^9 \frac{x^2}{9}\, dx\)B1 2nd B1 for \(\frac{81}{12}\) or \(\frac{27}{4}\) or \(\int_0^9 \frac{x^2}{9}\), ignore limits
\(E(X^2) = \text{Var}(X) + [E(X)]^2\) or \(= \left[\frac{x^3}{27}\right]_0^9\)M1 1st M1 for full method for \(E(X^2)\) using \(\text{Var}(X)\) and \(E(X)\), or attempt to integrate \(x^n \to x^{n+1}\) leading to a value for \(E(X^2)\). Need to be using \(\int_0^9 \frac{x^2}{9}\), ignore limits
\(E(X^2) = 27\)A1 1st A1 for \(E(X^2) = 27\), may be implied
\(E(R) = 9 \times 4.5 - 27 = 13.5\)dM1A1 d2nd M1 for using \(9E(X) - E(X^2)\), with their \(E(X)\) and \(E(X^2)\). Dep on first M
(6)
Alternative method:
AnswerMarks Guidance
AnswerMark Guidance
\(\int_0^9 \frac{(9x - x^2)}{9}\, dx = \left[\frac{9x^2}{18} - \frac{x^3}{27}\right]_0^9\)B1 B1 M1A1 B1 for integrand (ignore limits), ft their (c) which must be of form \(aX^2 + b\). B1 with correct limits ft their (c). M1 attempt to integrate at least one \(x^n \to x^{n+1}\). A1 correct integration
\(= \frac{81}{2} - \frac{81}{3} = 13.5\)dM1, A1 dM1 subst in limits, need to see 9 substituted. Condone missing 0
Part (e)
AnswerMarks Guidance
AnswerMark Guidance
\(R > 2X^2\) or \(9X - X^2 > 2X^2\)M1 1st M1 for forming suitable inequality in \(R\) and \(X\) or just \(X\). May be implied by a correct probability in \(X\). Allow \(\leq\) instead of \(<\) and \(\geq\) instead of \(>\)
\(9X > 3X^2\)A1 1st A1 for simplifying to \(9X > 3X^2\) or \(3 > X\). May be implied by correct probability in \(X\)
So \(P(X < 3)\)M1 2nd M1 for forming a correct probability in \(X\)
\(= \frac{1}{3}\)A1 2nd A1 for \(\frac{1}{3}\) or exact equivalent
(4)
Total: (14)
# Question 7:

## Part (a)
| Answer | Mark | Guidance |
|--------|------|----------|
| $X \sim U[0, 9]$ | B1 | For $X \sim U[0,9]$ or "continuous uniform"/"rectangular" distribution with correct range. Or allow pdf $f(x) = \frac{1}{9}$, $0 \leq x \leq 9$, $0$ otherwise |
| | **(1)** | |

## Part (b)
| Answer | Mark | Guidance |
|--------|------|----------|
| $P(X > 6) = \frac{1}{3}$ oe, allow awrt 0.333 | B1 | |
| | **(1)** | |

## Part (c)
| Answer | Mark | Guidance |
|--------|------|----------|
| $R = X(9-X)$, $= 9X - X^2$ | M1, A1 | M1 for $X(9-X)$ or $9X - X^2$ may be implied by correct answer. A1 for $9X - X^2$ or $a=-1$ and $b=9$ |
| | **(2)** | |

## Part (d)
| Answer | Mark | Guidance |
|--------|------|----------|
| $E(X) = 4.5$ | B1 | 1st B1 for 4.5, may be implied |
| $\text{Var}(X) = \frac{81}{12} = \frac{27}{4}$ **or** $E(X^2) = \int_0^9 \frac{x^2}{9}\, dx$ | B1 | 2nd B1 for $\frac{81}{12}$ or $\frac{27}{4}$ **or** $\int_0^9 \frac{x^2}{9}$, ignore limits |
| $E(X^2) = \text{Var}(X) + [E(X)]^2$ **or** $= \left[\frac{x^3}{27}\right]_0^9$ | M1 | 1st M1 for full method for $E(X^2)$ using $\text{Var}(X)$ and $E(X)$, or attempt to integrate $x^n \to x^{n+1}$ leading to a value for $E(X^2)$. Need to be using $\int_0^9 \frac{x^2}{9}$, ignore limits |
| $E(X^2) = 27$ | A1 | 1st A1 for $E(X^2) = 27$, may be implied |
| $E(R) = 9 \times 4.5 - 27 = 13.5$ | dM1A1 | d2nd M1 for using $9E(X) - E(X^2)$, with their $E(X)$ and $E(X^2)$. Dep on first M |
| | **(6)** | |

**Alternative method:**
| Answer | Mark | Guidance |
|--------|------|----------|
| $\int_0^9 \frac{(9x - x^2)}{9}\, dx = \left[\frac{9x^2}{18} - \frac{x^3}{27}\right]_0^9$ | B1 B1 M1A1 | B1 for integrand (ignore limits), ft their (c) which must be of form $aX^2 + b$. B1 with correct limits ft their (c). M1 attempt to integrate at least one $x^n \to x^{n+1}$. A1 correct integration |
| $= \frac{81}{2} - \frac{81}{3} = 13.5$ | dM1, A1 | dM1 subst in limits, need to see 9 substituted. Condone missing 0 |

## Part (e)
| Answer | Mark | Guidance |
|--------|------|----------|
| $R > 2X^2$ or $9X - X^2 > 2X^2$ | M1 | 1st M1 for forming suitable inequality in $R$ and $X$ or just $X$. May be implied by a correct probability in $X$. Allow $\leq$ instead of $<$ and $\geq$ instead of $>$ |
| $9X > 3X^2$ | A1 | 1st A1 for simplifying to $9X > 3X^2$ or $3 > X$. May be implied by correct probability in $X$ |
| So $P(X < 3)$ | M1 | 2nd M1 for forming a correct probability in $X$ |
| $= \frac{1}{3}$ | A1 | 2nd A1 for $\frac{1}{3}$ or exact equivalent |
| | **(4)** | |
| | **Total: (14)** | |
7. A piece of string $A B$ has length 9 cm . The string is cut at random at a point $P$ and the random variable $X$ represents the length of the piece of string $A P$.
\begin{enumerate}[label=(\alph*)]
\item Write down the distribution of $X$.
\item Find the probability that the length of the piece of string $A P$ is more than 6 cm .

The two pieces of string $A P$ and $P B$ are used to form two sides of a rectangle.

The random variable $R$ represents the area of the rectangle.
\item Show that $R = a X ^ { 2 } + b X$ and state the values of the constants $a$ and $b$.
\item Find $\mathrm { E } ( R )$.
\item Find the probability that $R$ is more than twice the area of a square whose side has the length of the piece of string $A P$.
\end{enumerate}

\hfill \mbox{\textit{Edexcel S2 2014 Q7 [14]}}