Edexcel S1 2003 November — Question 5 9 marks

Exam BoardEdexcel
ModuleS1 (Statistics 1)
Year2003
SessionNovember
Marks9
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicUniform Distribution
TypeFind parameter n from mean
DifficultyModerate -0.8 This is a straightforward S1 question requiring recall of the discrete uniform distribution formula E(X) = (n+1)/2, then simple algebraic manipulation to find n=9. Parts (b) and (c) involve basic probability counting and applying the variance formula. All steps are routine with no problem-solving insight required.
Spec5.02a Discrete probability distributions: general5.02e Discrete uniform distribution

5. The random variable \(X\) has the discrete uniform distribution $$\mathrm { P } ( X = x ) = \frac { 1 } { n } , \quad x = 1,2 , \ldots , n$$ Given that \(\mathrm { E } ( X ) = 5\),
  1. show that \(n = 9\). Find
  2. \(\mathrm { P } ( X < 7 )\),
  3. \(\operatorname { Var } ( X )\).

AnswerMarks Guidance
Part (a)
\(E[X] = \sum x \cdot P[X = x] = \frac{1}{n} + \frac{2}{n} + \ldots + \frac{n}{n}\)M1 Use of \(E(X)\)
\(= \frac{1}{n}[1 + 2 + \ldots + n]\)
\(= \frac{1}{n} \cdot \frac{n(n+1)}{2} = \frac{n+1}{2}\)M1 Use of \(\sum\) formula
\(\therefore \frac{n+1}{2} = 5 \Rightarrow n = 9\)A1 c.s.o
Part (b)
\(P(X < T) = \frac{1}{9} \times 6 = \frac{2}{3}\)M1, A1 (2 marks)
Part (c)
\(\text{Var}[X] = E[X^2] - [E[X]]^2\)M1 Use of Var\((X)\)
\(= \frac{1^2}{9} + \frac{2^2}{9} + \ldots + \frac{9^2}{9} - 5^2\)M1 Use of \(\sum n^3\)
\(= \frac{1}{9} \cdot \frac{1}{6} \times 9 \times 10 \times 19 - 5^2\)
CorrectA1
\(= \frac{20}{3}\)A1 (4 marks)
OR
AnswerMarks
\(\text{Var}(X) = \frac{n^2 - 1}{12} = \frac{80}{12} = \frac{20}{3}\)M2, A1, A1
**Part (a)** | | 
$E[X] = \sum x \cdot P[X = x] = \frac{1}{n} + \frac{2}{n} + \ldots + \frac{n}{n}$ | M1 | Use of $E(X)$ | 
$= \frac{1}{n}[1 + 2 + \ldots + n]$ | | 
$= \frac{1}{n} \cdot \frac{n(n+1)}{2} = \frac{n+1}{2}$ | M1 | Use of $\sum$ formula | 
$\therefore \frac{n+1}{2} = 5 \Rightarrow n = 9$ | A1 | c.s.o | (3 marks)

**Part (b)** | | 
$P(X < T) = \frac{1}{9} \times 6 = \frac{2}{3}$ | M1, A1 | (2 marks)

**Part (c)** | | 
$\text{Var}[X] = E[X^2] - [E[X]]^2$ | M1 | Use of Var$(X)$ | 
$= \frac{1^2}{9} + \frac{2^2}{9} + \ldots + \frac{9^2}{9} - 5^2$ | M1 | Use of $\sum n^3$ | 
$= \frac{1}{9} \cdot \frac{1}{6} \times 9 \times 10 \times 19 - 5^2$ | | 
Correct | A1 | 
$= \frac{20}{3}$ | A1 | (4 marks)

OR

$\text{Var}(X) = \frac{n^2 - 1}{12} = \frac{80}{12} = \frac{20}{3}$ | M2, A1, A1 | 

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5. The random variable $X$ has the discrete uniform distribution

$$\mathrm { P } ( X = x ) = \frac { 1 } { n } , \quad x = 1,2 , \ldots , n$$

Given that $\mathrm { E } ( X ) = 5$,
\begin{enumerate}[label=(\alph*)]
\item show that $n = 9$.

Find
\item $\mathrm { P } ( X < 7 )$,
\item $\operatorname { Var } ( X )$.
\end{enumerate}

\hfill \mbox{\textit{Edexcel S1 2003 Q5 [9]}}