OCR S1 Specimen — Question 5 10 marks

Exam BoardOCR
ModuleS1 (Statistics 1)
SessionSpecimen
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicDiscrete Probability Distributions
TypeSampling without replacement
DifficultyModerate -0.8 This is a straightforward hypergeometric distribution question requiring only standard combinatorial calculations (choosing 3 from 12 students) and basic expectation/variance formulas. The 'show that' parts guide students through the method, and all calculations involve simple arithmetic with small numbers. This is easier than average for A-level, being a routine textbook exercise with no problem-solving insight required.
Spec5.01a Permutations and combinations: evaluate probabilities5.02a Discrete probability distributions: general5.02b Expectation and variance: discrete random variables

5 A sixth-form class consists of 7 girls and 5 boys. Three students from the class are chosen at random. The number of boys chosen is denoted by the random variable \(X\). Show that
  1. \(\quad \mathrm { P } ( X = 0 ) = \frac { 7 } { 44 }\),
  2. \(\mathrm { P } ( X = 2 ) = \frac { 7 } { 22 }\). The complete probability distribution of \(X\) is shown in the following table.
    \(x\)0123
    \(\mathrm { P } ( X = x )\)\(\frac { 7 } { 44 }\)\(\frac { 21 } { 44 }\)\(\frac { 7 } { 22 }\)\(\frac { 1 } { 22 }\)
  3. Calculate \(\mathrm { E } ( X )\) and \(\operatorname { Var } ( X )\).

Part (i)
AnswerMarks Guidance
EITHER: \(P(X = 0) = \frac{\binom{5}{0}}{\binom{13}{3}} = \frac{33}{220} = \frac{3}{44}\)M1 For ratio of relevant \(\binom{\ }{\ }\) terms
A1For showing the given answer correctly
OR: \(P(X = 0) = \frac{7}{13} \times \frac{6}{12} \times \frac{5}{10} = \frac{7}{44}\)M1 For multiplication of relevant 'girl' probs
A1For showing the given answer correctly
Part (ii)
EITHER: \(P(X = 2) = P(2 \text{ boys and 1 girl})\)
\(= \frac{\binom{5}{2} \times \binom{8}{1}}{\binom{13}{3}}\)
AnswerMarks Guidance
\(= \frac{2 \times 10}{220} = \frac{7}{22}\)M1 For use of three \(\binom{\ }{\ }\) terms relevant to the 2B, 1G case
B1For both \(\binom{5}{2}\) and \(\binom{13}{5}\) correct
A1For showing the given answer correctly
OR: \(P(X = 2) = P(2 \text{ boys and 1 girl})\)
AnswerMarks Guidance
\(= \frac{5}{13} \times \frac{4}{12} \times \frac{8}{10} \times 3 = \frac{2}{11}\)M1 For three probabilities multiplied relevant to the 2B, 1G case
B1For inclusion of factor 3
A1For showing the given answer correctly
Part (iii)
AnswerMarks Guidance
\(E(X) = 0 \times \frac{7}{44} + 1 \times \frac{21}{44} + 2 \times \frac{28}{52} + 3 \times \frac{7}{44} = \frac{3}{2}\)M1 For correct calculation process
A1For correct answer
\(E(X^2) = 0 \times \frac{7}{44} + 1 \times \frac{21}{44} + 4 \times \frac{7}{52} + 9 \times \frac{1}{22} = \frac{95}{44}\)B1 For correct numerical expression for \(E(X^2) p\)
M1For correct overall method for variance
\(\text{Var}(X) = \frac{95}{44} - \left(\frac{3}{2}\right)^2 = \frac{105}{176}\) or 0.597 (to 3dp)A1√ For correct answer
**Part (i)**

EITHER: $P(X = 0) = \frac{\binom{5}{0}}{\binom{13}{3}} = \frac{33}{220} = \frac{3}{44}$ | M1 | For ratio of relevant $\binom{\ }{\ }$ terms
| A1 | For showing the given answer correctly

OR: $P(X = 0) = \frac{7}{13} \times \frac{6}{12} \times \frac{5}{10} = \frac{7}{44}$ | M1 | For multiplication of relevant 'girl' probs
| A1 | For showing the given answer correctly

**Part (ii)**

EITHER: $P(X = 2) = P(2 \text{ boys and 1 girl})$

$= \frac{\binom{5}{2} \times \binom{8}{1}}{\binom{13}{3}}$

$= \frac{2 \times 10}{220} = \frac{7}{22}$ | M1 | For use of three $\binom{\ }{\ }$ terms relevant to the 2B, 1G case
| B1 | For both $\binom{5}{2}$ and $\binom{13}{5}$ correct
| A1 | For showing the given answer correctly

OR: $P(X = 2) = P(2 \text{ boys and 1 girl})$

$= \frac{5}{13} \times \frac{4}{12} \times \frac{8}{10} \times 3 = \frac{2}{11}$ | M1 | For three probabilities multiplied relevant to the 2B, 1G case
| B1 | For inclusion of factor 3
| A1 | For showing the given answer correctly

**Part (iii)**

$E(X) = 0 \times \frac{7}{44} + 1 \times \frac{21}{44} + 2 \times \frac{28}{52} + 3 \times \frac{7}{44} = \frac{3}{2}$ | M1 | For correct calculation process
| A1 | For correct answer

$E(X^2) = 0 \times \frac{7}{44} + 1 \times \frac{21}{44} + 4 \times \frac{7}{52} + 9 \times \frac{1}{22} = \frac{95}{44}$ | B1 | For correct numerical expression for $E(X^2) p$
| M1 | For correct overall method for variance

$\text{Var}(X) = \frac{95}{44} - \left(\frac{3}{2}\right)^2 = \frac{105}{176}$ or 0.597 (to 3dp) | A1√ | For correct answer

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5 A sixth-form class consists of 7 girls and 5 boys. Three students from the class are chosen at random. The number of boys chosen is denoted by the random variable $X$. Show that\\
(i) $\quad \mathrm { P } ( X = 0 ) = \frac { 7 } { 44 }$,\\
(ii) $\mathrm { P } ( X = 2 ) = \frac { 7 } { 22 }$.

The complete probability distribution of $X$ is shown in the following table.

\begin{center}
\begin{tabular}{ | c | c | c | c | c | }
\hline
$x$ & 0 & 1 & 2 & 3 \\
\hline
$\mathrm { P } ( X = x )$ & $\frac { 7 } { 44 }$ & $\frac { 21 } { 44 }$ & $\frac { 7 } { 22 }$ & $\frac { 1 } { 22 }$ \\
\hline
\end{tabular}
\end{center}

(iii) Calculate $\mathrm { E } ( X )$ and $\operatorname { Var } ( X )$.

\hfill \mbox{\textit{OCR S1  Q5 [10]}}