Edexcel S2 2023 January — Question 2 11 marks

Exam BoardEdexcel
ModuleS2 (Statistics 2)
Year2023
SessionJanuary
Marks11
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicBinomial Distribution
TypeProbability distribution table
DifficultyModerate -0.8 This is a straightforward S2 question requiring systematic enumeration of outcomes, basic probability calculations using binomial distribution (p^3, 3p^2q, etc.), and simple arithmetic. All steps are routine applications of standard techniques with no conceptual challenges or novel insights required.
Spec2.01a Population and sample: terminology5.01a Permutations and combinations: evaluate probabilities5.02b Expectation and variance: discrete random variables

  1. A bag contains a large number of coins. It only contains 20 p and 50 p coins. A random sample of 3 coins is taken from the bag.
    1. List all the possible combinations of 3 coins that might be taken.
    Let \(\bar { X }\) represent the mean value of the 3 coins taken.
    Part of the sampling distribution of \(\bar { X }\) is given below.
    \(\bar { x }\)20\(a\)\(b\)50
    \(\mathrm { P } ( \bar { X } = \bar { x } )\)\(\frac { 4913 } { 8000 }\)\(c\)\(d\)\(\frac { 27 } { 8000 }\)
  2. Write down the value of \(a\) and the value of \(b\) The probability of taking a 20p coin at random from the bag is \(p\) The probability of taking a 50p coin at random from the bag is \(q\)
  3. Find the value of \(p\) and the value of \(q\)
  4. Hence, find the value of \(c\) and the value of \(d\) Let \(M\) represent the mode of the 3 coins taken at random from the bag.
  5. Find the sampling distribution of \(M\)

Question 2:
Part (a)
AnswerMarks Guidance
AnswerMark Guidance
20, 20, 20 \20, 20, 50 (×3) \ 20, 50, 50 (×3) \
Part (b)
AnswerMarks Guidance
AnswerMark Guidance
\(a = 30\) and \(b = 40\)B1 For \(a = 30\) and \(b = 40\)
Part (c)
AnswerMarks Guidance
AnswerMark Guidance
\(p^3 = \frac{4913}{8000}\) or \(q^3 = \frac{27}{8000}\)M1 Either \(p^3 = \frac{4913}{8000}\) or \(q^3 = \frac{27}{8000}\)
\(p = \frac{17}{20}\ (0.85)\) and \(q = \frac{3}{20}\ (0.15)\)A1 \(p = 0.85\) oe and \(q = 0.15\) oe
Part (d)
AnswerMarks Guidance
AnswerMark Guidance
\([P(30)] = 3 \times p^2 \times q\)M1 \([P(30)] = 3 \times (\text{their } p)^2 \times (\text{their } q)\); must see values substituted
\([P(40)] = 3 \times p \times q^2\)M1 \([P(40)] = 3 \times (\text{their } p) \times (\text{their } q)^2\); or use of sum of probabilities \(= 1\) i.e. \(c + d = \frac{153}{400}\)
\(c = \frac{2601}{8000}\), \(d = \frac{459}{8000}\)A1 For \(c = \frac{2601}{8000}\ (= 0.325125)\) and \(d = \frac{459}{8000}\ (= 0.057375)\)
Part (e)
AnswerMarks Guidance
AnswerMark Guidance
\(M = 20\) and \(M = 50\) onlyB1 For 20 and 50 only (ignore notation used for \(M\))
\(P(M=20) = \frac{3757}{4000}\), \(P(M=50) = \frac{243}{4000}\)M1, A1ft Either \(\frac{4913}{8000} +\) their \(c\) or \(\frac{27}{8000} +\) their \(d\). Follow through their values for \(c\) and \(d\) but \(P(M=20) + P(M=50)\) must sum to 1. NB: If \(a\) and \(b\) reversed then \(c = \frac{459}{8000}\), \(d = \frac{2601}{8000}\)
# Question 2:

## Part (a)
| Answer | Mark | Guidance |
|--------|------|----------|
| 20, 20, 20 \| 20, 20, 50 (×3) \| 20, 50, 50 (×3) \| 50, 50, 50 | B2 | For all 4 correct combinations. B1 for 3 correct combinations. Ignore extraneous repetitions of any of the given combinations |

## Part (b)
| Answer | Mark | Guidance |
|--------|------|----------|
| $a = 30$ and $b = 40$ | B1 | For $a = 30$ and $b = 40$ |

## Part (c)
| Answer | Mark | Guidance |
|--------|------|----------|
| $p^3 = \frac{4913}{8000}$ or $q^3 = \frac{27}{8000}$ | M1 | Either $p^3 = \frac{4913}{8000}$ or $q^3 = \frac{27}{8000}$ |
| $p = \frac{17}{20}\ (0.85)$ and $q = \frac{3}{20}\ (0.15)$ | A1 | $p = 0.85$ oe and $q = 0.15$ oe |

## Part (d)
| Answer | Mark | Guidance |
|--------|------|----------|
| $[P(30)] = 3 \times p^2 \times q$ | M1 | $[P(30)] = 3 \times (\text{their } p)^2 \times (\text{their } q)$; must see values substituted |
| $[P(40)] = 3 \times p \times q^2$ | M1 | $[P(40)] = 3 \times (\text{their } p) \times (\text{their } q)^2$; or use of sum of probabilities $= 1$ i.e. $c + d = \frac{153}{400}$ |
| $c = \frac{2601}{8000}$, $d = \frac{459}{8000}$ | A1 | For $c = \frac{2601}{8000}\ (= 0.325125)$ and $d = \frac{459}{8000}\ (= 0.057375)$ |

## Part (e)
| Answer | Mark | Guidance |
|--------|------|----------|
| $M = 20$ and $M = 50$ only | B1 | For 20 and 50 only (ignore notation used for $M$) |
| $P(M=20) = \frac{3757}{4000}$, $P(M=50) = \frac{243}{4000}$ | M1, A1ft | Either $\frac{4913}{8000} +$ their $c$ or $\frac{27}{8000} +$ their $d$. Follow through their values for $c$ and $d$ but $P(M=20) + P(M=50)$ must sum to 1. NB: If $a$ and $b$ reversed then $c = \frac{459}{8000}$, $d = \frac{2601}{8000}$ |

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\begin{enumerate}
  \item A bag contains a large number of coins. It only contains 20 p and 50 p coins. A random sample of 3 coins is taken from the bag.\\
(a) List all the possible combinations of 3 coins that might be taken.
\end{enumerate}

Let $\bar { X }$ represent the mean value of the 3 coins taken.\\
Part of the sampling distribution of $\bar { X }$ is given below.

\begin{center}
\begin{tabular}{ | c | c | c | c | c | }
\hline
$\bar { x }$ & 20 & $a$ & $b$ & 50 \\
\hline
$\mathrm { P } ( \bar { X } = \bar { x } )$ & $\frac { 4913 } { 8000 }$ & $c$ & $d$ & $\frac { 27 } { 8000 }$ \\
\hline
\end{tabular}
\end{center}

(b) Write down the value of $a$ and the value of $b$

The probability of taking a 20p coin at random from the bag is $p$ The probability of taking a 50p coin at random from the bag is $q$\\
(c) Find the value of $p$ and the value of $q$\\
(d) Hence, find the value of $c$ and the value of $d$

Let $M$ represent the mode of the 3 coins taken at random from the bag.\\
(e) Find the sampling distribution of $M$

\hfill \mbox{\textit{Edexcel S2 2023 Q2 [11]}}