CAIE S1 2013 November — Question 7 11 marks

Exam BoardCAIE
ModuleS1 (Statistics 1)
Year2013
SessionNovember
Marks11
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicProbability Definitions
TypeSequential events and tree diagrams
DifficultyModerate -0.8 This is a straightforward probability question involving conditional definitions and systematic enumeration. Parts (i) and (ii) guide students through the method, part (iii) requires routine calculation of remaining probabilities, and part (iv) tests basic understanding of exclusive events. The question requires careful organization but no novel insight—it's easier than average A-level work due to its structured guidance and standard techniques.
Spec2.03a Mutually exclusive and independent events2.03b Probability diagrams: tree, Venn, sample space2.03c Conditional probability: using diagrams/tables2.04a Discrete probability distributions

7 James has a fair coin and a fair tetrahedral die with four faces numbered 1, 2, 3, 4. He tosses the coin once and the die twice. The random variable \(X\) is defined as follows.
  • If the coin shows a head then \(X\) is the sum of the scores on the two throws of the die.
  • If the coin shows a tail then \(X\) is the score on the first throw of the die only.
    1. Explain why \(X = 1\) can only be obtained by throwing a tail, and show that \(\mathrm { P } ( X = 1 ) = \frac { 1 } { 8 }\).
    2. Show that \(\mathrm { P } ( X = 3 ) = \frac { 3 } { 16 }\).
    3. Copy and complete the probability distribution table for \(X\).
\(x\)12345678
\(\mathrm { P } ( X = x )\)\(\frac { 1 } { 8 }\)\(\frac { 3 } { 16 }\)\(\frac { 1 } { 8 }\)\(\frac { 1 } { 16 }\)\(\frac { 1 } { 32 }\)
Event \(Q\) is 'James throws a tail'. Event \(R\) is 'the value of \(X\) is 7'.
  • Determine whether events \(Q\) and \(R\) are exclusive. Justify your answer.

  • Question 7:
    Part (i):
    AnswerMarks Guidance
    Answer/WorkingMark Guidance
    If throw H then smallest score is 2; \(P(T,1) = \frac{1}{2} \times \frac{1}{4} = \frac{1}{8}\) AGB1, B1 [2] Or equivalent
    Part (ii):
    AnswerMarks Guidance
    Answer/WorkingMark Guidance
    \(P(3)\) from two dice \(= \frac{2}{16}\) seenB1 From \((1,2)\) and \((2,1)\)
    \(P(H,3) = \frac{1}{2} \times \frac{2}{16} = \frac{2}{32}\); \(P(T,3) = \frac{1}{2} \times \frac{1}{4} = \frac{1}{8}\)M1, A1 Summing \(P(H,3)\) and \(P(T,3)\); one correct
    So \(P(3) = \frac{6}{32} = \frac{3}{16}\) AGA1 [4] Correct answer, must see clear reasoning
    Part (iii):
    AnswerMarks Guidance
    Answer/WorkingMark Guidance
    \(X\): 1, 2, 3, 4, 5, 6, 7, 8B1 One correct prob
    Prob: —, \(\frac{5}{32}\), —, \(\frac{7}{32}\), —, \(\frac{3}{32}\), —, —B1 A second correct prob
    B1 [3]A third correct prob
    Part (iv):
    AnswerMarks Guidance
    Answer/WorkingMark Guidance
    \(P(Q \cap R) = 0\) or 'if you throw a tail you can't get a 7'M1 Stating \(P(Q \cap R) = 0\) or implying by words
    Yes they are exclusiveA1dep [2] Dep on previous M
    ## Question 7:
    
    ### Part (i):
    
    | Answer/Working | Mark | Guidance |
    |---|---|---|
    | If throw H then smallest score is 2; $P(T,1) = \frac{1}{2} \times \frac{1}{4} = \frac{1}{8}$ **AG** | B1, B1 **[2]** | Or equivalent |
    
    ### Part (ii):
    
    | Answer/Working | Mark | Guidance |
    |---|---|---|
    | $P(3)$ from two dice $= \frac{2}{16}$ seen | B1 | From $(1,2)$ and $(2,1)$ |
    | $P(H,3) = \frac{1}{2} \times \frac{2}{16} = \frac{2}{32}$; $P(T,3) = \frac{1}{2} \times \frac{1}{4} = \frac{1}{8}$ | M1, A1 | Summing $P(H,3)$ and $P(T,3)$; one correct |
    | So $P(3) = \frac{6}{32} = \frac{3}{16}$ **AG** | A1 **[4]** | Correct answer, must see clear reasoning |
    
    ### Part (iii):
    
    | Answer/Working | Mark | Guidance |
    |---|---|---|
    | $X$: 1, 2, 3, 4, 5, 6, 7, 8 | B1 | One correct prob |
    | Prob: —, $\frac{5}{32}$, —, $\frac{7}{32}$, —, $\frac{3}{32}$, —, — | B1 | A second correct prob |
    | | B1 **[3]** | A third correct prob |
    
    ### Part (iv):
    
    | Answer/Working | Mark | Guidance |
    |---|---|---|
    | $P(Q \cap R) = 0$ or 'if you throw a tail you can't get a 7' | M1 | Stating $P(Q \cap R) = 0$ or implying by words |
    | Yes they are exclusive | A1dep **[2]** | Dep on previous M |
    7 James has a fair coin and a fair tetrahedral die with four faces numbered 1, 2, 3, 4. He tosses the coin once and the die twice. The random variable $X$ is defined as follows.
    
    \begin{itemize}
      \item If the coin shows a head then $X$ is the sum of the scores on the two throws of the die.
      \item If the coin shows a tail then $X$ is the score on the first throw of the die only.\\
    (i) Explain why $X = 1$ can only be obtained by throwing a tail, and show that $\mathrm { P } ( X = 1 ) = \frac { 1 } { 8 }$.\\
    (ii) Show that $\mathrm { P } ( X = 3 ) = \frac { 3 } { 16 }$.\\
    (iii) Copy and complete the probability distribution table for $X$.
    \end{itemize}
    
    \begin{center}
    \begin{tabular}{ | c | c | c | c | c | c | c | c | c | }
    \hline
    $x$ & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 \\
    \hline
    $\mathrm { P } ( X = x )$ & $\frac { 1 } { 8 }$ &  & $\frac { 3 } { 16 }$ &  & $\frac { 1 } { 8 }$ &  & $\frac { 1 } { 16 }$ & $\frac { 1 } { 32 }$ \\
    \hline
    \end{tabular}
    \end{center}
    
    Event $Q$ is 'James throws a tail'. Event $R$ is 'the value of $X$ is 7'.\\
    (iv) Determine whether events $Q$ and $R$ are exclusive. Justify your answer.
    
    \hfill \mbox{\textit{CAIE S1 2013 Q7 [11]}}