Edexcel S1 2001 January — Question 3 12 marks

Exam BoardEdexcel
ModuleS1 (Statistics 1)
Year2001
SessionJanuary
Marks12
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicUniform Distribution
TypeExpectation of linear transformation
DifficultyEasy -1.2 This is a straightforward S1 question testing basic discrete uniform distribution properties and standard results for linear transformations of random variables. Part (a) requires writing P(Y=y)=1/6, part (b) is recall ('discrete uniform'), and parts (c)-(d) apply the formulas E(aY+b)=aE(Y)+b and Var(aY+b)=a²Var(Y) with E(Y)=3.5 and Var(Y)=35/12 for a fair die. All steps are routine applications of memorized results with no problem-solving required.
Spec2.04a Discrete probability distributions5.02b Expectation and variance: discrete random variables

3. A fair six-sided die is rolled. The random variable \(Y\) represents the score on the uppermost, face.
  1. Write down the probability function of \(Y\).
  2. State the name of the distribution of \(Y\). Find the value of
  3. \(\mathrm { E } ( 6 Y + 2 )\),
  4. \(\operatorname { Var } ( 4 Y - 2 )\).

Question 3:
Part (a)
AnswerMarks Guidance
AnswerMarks Guidance
\(P(Y=y) = \frac{1}{6}\), \(y = 1,2,3,4,5,6\)B1, B1 (2)
Part (b)
AnswerMarks Guidance
AnswerMarks Guidance
Discrete uniform distributionB1 (1)
Part (c)
AnswerMarks Guidance
AnswerMarks Guidance
\(E(Y) = \frac{6+1}{2} = 3.5\)M1 A1
\(E(6Y+2) = 6E(Y)+2 = 6\times3.5+2 = 23\)M1 A1 (4) Follow through on \(E(Y)\)
Part (d)
AnswerMarks Guidance
AnswerMarks Guidance
\(Var(Y) = \frac{7\times5}{12} = \frac{35}{12}\) or \(2.92\) or \(2.916\)M1 A1
\(Var(4Y-2) = 16\,Var(Y) = 16\times\frac{35}{12} = \frac{560}{12}\) or \(46.\overline{6}\) or \(46.7\)M1 M1 A1 (5) Accept \(46\frac{2}{3}\), \(46.6\), \(46.7\)
## Question 3:

**Part (a)**
| Answer | Marks | Guidance |
|--------|-------|----------|
| $P(Y=y) = \frac{1}{6}$, $y = 1,2,3,4,5,6$ | B1, B1 (2) | |

**Part (b)**
| Answer | Marks | Guidance |
|--------|-------|----------|
| Discrete uniform distribution | B1 (1) | |

**Part (c)**
| Answer | Marks | Guidance |
|--------|-------|----------|
| $E(Y) = \frac{6+1}{2} = 3.5$ | M1 A1 | |
| $E(6Y+2) = 6E(Y)+2 = 6\times3.5+2 = 23$ | M1 A1 (4) | Follow through on $E(Y)$ |

**Part (d)**
| Answer | Marks | Guidance |
|--------|-------|----------|
| $Var(Y) = \frac{7\times5}{12} = \frac{35}{12}$ or $2.92$ or $2.916$ | M1 A1 | |
| $Var(4Y-2) = 16\,Var(Y) = 16\times\frac{35}{12} = \frac{560}{12}$ or $46.\overline{6}$ or $46.7$ | M1 M1 A1 (5) | Accept $46\frac{2}{3}$, $46.6$, $46.7$ |

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3. A fair six-sided die is rolled. The random variable $Y$ represents the score on the uppermost, face.
\begin{enumerate}[label=(\alph*)]
\item Write down the probability function of $Y$.
\item State the name of the distribution of $Y$.

Find the value of
\item $\mathrm { E } ( 6 Y + 2 )$,
\item $\operatorname { Var } ( 4 Y - 2 )$.
\end{enumerate}

\hfill \mbox{\textit{Edexcel S1 2001 Q3 [12]}}