CAIE S1 2018 June — Question 3 6 marks

Exam BoardCAIE
ModuleS1 (Statistics 1)
Year2018
SessionJune
Marks6
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicHypergeometric Distribution
TypeCalculate expectation and variance
DifficultyModerate -0.8 This is a straightforward hypergeometric distribution question with small numbers (12 socks total, sampling 2). Part (i) is basic probability calculation, part (ii) requires computing three simple probabilities, and part (iii) is direct expectation calculation from the table. All steps are routine with no conceptual challenges beyond recognizing the sampling-without-replacement setup.
Spec2.04a Discrete probability distributions5.02b Expectation and variance: discrete random variables

3 Andy has 4 red socks and 8 black socks in his drawer. He takes 2 socks at random from his drawer.
  1. Find the probability that the socks taken are of different colours.
    The random variable \(X\) is the number of red socks taken.
  2. Draw up the probability distribution table for \(X\).
  3. Find \(\mathrm { E } ( X )\).

Question 3(i):
Method 1:
AnswerMarks Guidance
\(P(RB) + P(BR) = \frac{4}{12} \times \frac{8}{11} + \frac{8}{12} \times \frac{4}{11}\)M1 Multiply 2 probs together and summing two 2-factor probs, unsimplified, condone replacement
\(P(\text{diff colours}) = \frac{64}{132} \left(\frac{16}{33}\right) (0.485)\)A1 Correct answer
Method 2:
AnswerMarks Guidance
\(1 - P(BB) - P(RR) = 1 - \frac{4}{12} \times \frac{3}{11} - \frac{8}{12} \times \frac{7}{11}\)M1 Multiply 2 probs together and subtracting two 2-factor probs from 1, unsimplified, condone replacement
\(P(\text{diff colours}) = \frac{64}{132} \left(\frac{16}{33}\right)\)A1 Correct answer
Method 3:
AnswerMarks Guidance
\(P(\text{diff colours}) = \frac{(^4C_1 \times ^8C_1)}{^{12}C_2}\)M1 Multiply 2 combs together and dividing by a combination
\(= \frac{16}{33}\)A1 Correct answer
Question 3(ii):
AnswerMarks Guidance
Number of red socks0 1
Prob\(\frac{14}{33}\) \(\frac{16}{33}\)
B1Prob distribution table drawn, top row correct, condone additional values with \(p = 0\) stated
B1\(P(0)\) or \(P(2)\) correct to 3sf (need not be in table)
B1All probs correct to 3sf, condone \(P(0)\) and \(P(2)\) swapped if correct
Question 3(iii):
AnswerMarks Guidance
\(E(X) = 1 \times \frac{16}{33} + 2 \times \frac{3}{33} = \frac{16}{33} + \frac{6}{33} = \frac{22}{33} \left(\frac{2}{3}\right)\)B1ft ft their table if 0, 1, 2 only, \(0 < p < 1\)
## Question 3(i):

**Method 1:**

$P(RB) + P(BR) = \frac{4}{12} \times \frac{8}{11} + \frac{8}{12} \times \frac{4}{11}$ | M1 | Multiply 2 probs together and summing two 2-factor probs, unsimplified, condone replacement |

$P(\text{diff colours}) = \frac{64}{132} \left(\frac{16}{33}\right) (0.485)$ | A1 | Correct answer |

**Method 2:**

$1 - P(BB) - P(RR) = 1 - \frac{4}{12} \times \frac{3}{11} - \frac{8}{12} \times \frac{7}{11}$ | M1 | Multiply 2 probs together and subtracting two 2-factor probs from 1, unsimplified, condone replacement |

$P(\text{diff colours}) = \frac{64}{132} \left(\frac{16}{33}\right)$ | A1 | Correct answer |

**Method 3:**

$P(\text{diff colours}) = \frac{(^4C_1 \times ^8C_1)}{^{12}C_2}$ | M1 | Multiply 2 combs together and dividing by a combination |

$= \frac{16}{33}$ | A1 | Correct answer |

---

## Question 3(ii):

| Number of red socks | 0 | 1 | 2 |
|---|---|---|---|
| Prob | $\frac{14}{33}$ | $\frac{16}{33}$ | $\frac{3}{33}$ |

| B1 | Prob distribution table drawn, top row correct, condone additional values with $p = 0$ stated |

| B1 | $P(0)$ or $P(2)$ correct to 3sf (need not be in table) |

| B1 | All probs correct to 3sf, condone $P(0)$ and $P(2)$ swapped if correct |

---

## Question 3(iii):

$E(X) = 1 \times \frac{16}{33} + 2 \times \frac{3}{33} = \frac{16}{33} + \frac{6}{33} = \frac{22}{33} \left(\frac{2}{3}\right)$ | B1ft | ft their table if 0, 1, 2 only, $0 < p < 1$ |

---
3 Andy has 4 red socks and 8 black socks in his drawer. He takes 2 socks at random from his drawer.\\
(i) Find the probability that the socks taken are of different colours.\\

The random variable $X$ is the number of red socks taken.\\
(ii) Draw up the probability distribution table for $X$.\\

(iii) Find $\mathrm { E } ( X )$.\\

\hfill \mbox{\textit{CAIE S1 2018 Q3 [6]}}