Cambridge 9709 · Paper 5 Variant 1 · October/November 2025

A Level Mathematics 9709/51 October/November 2025 Past Paper with Answers

16 multiple choice questions: the full answer key and a worked explanation for every one. Sit the paper free in any Paperverse world and get your mark at the end.

SyllabusAlternate Universe Cambridge 9709
SubjectMathematics (9709) AS, Mathematics (9709) A2
Paper9709/51/O/N/25 · Paper 5, Variant 1
Also listed as9709_w25_qp_51 · 9709_w25_ms_51
SessionOctober/November 2025
Questions16, multiple choice, with answers and explanations
CostFree

9709/51/O/N/25 answer key

  1. Q1 A
  2. Q2 A
  3. Q3 A
  4. Q4 A
  5. Q5 A
  6. Q6 A
  7. Q7 A
  8. Q8 A
  9. Q9 A
  10. Q10 A
  11. Q11 A
  12. Q12 A
  13. Q13 A
  14. Q14 A
  15. Q15 A
  16. Q16 A

Preview the first questions

Question 1

The discrete random variable $X$ has probability distribution given by $P(X = x) = k x^2$ for $x = -3, 1, 2, 4$, where $k$ is a constant. What is the value of $k$?

  1. $\dfrac{1}{30}$
  2. $\dfrac{1}{10}$
  3. $\dfrac{1}{18}$
  4. $\dfrac{1}{24}$
Show the answer and explanation

Correct answer: A

Step 1: The sum of all probabilities must equal $1$: $\sum P(X = x) = 1$. Step 2: Compute $k x^2$ for each value: $k(-3)^2 + k(1)^2 + k(2)^2 + k(4)^2 = 9k + k + 4k + 16k = 30k$. Step 3: Set $30k = 1$, so $k = \dfrac{1}{30}$.

Question 2

The discrete random variable $X$ takes values $-1, 2, 3, 4$ with probabilities $\dfrac{1}{10}, \dfrac{4}{10}, \dfrac{2}{10}, \dfrac{3}{10}$ respectively. What is the value of $E(X)$?

  1. $2.5$
  2. $2.0$
  3. $3.0$
  4. $1.8$
Show the answer and explanation

Correct answer: A

Step 1: Use the formula $E(X) = \sum x \cdot P(X = x)$. Step 2: Compute each term: $(-1)(0.1) + (2)(0.4) + (3)(0.2) + (4)(0.3) = -0.1 + 0.8 + 0.6 + 1.2$. Step 3: Sum: $E(X) = 2.5$.

Question 3

A discrete random variable $Y$ takes values $-1, 2, 3, 5$ with probabilities $\dfrac{2}{20}, \dfrac{5}{20}, \dfrac{4}{20}, \dfrac{9}{20}$ respectively. What is $P(Y \ne 3 \mid Y > 0)$?

  1. $\dfrac{14}{18}$
  2. $\dfrac{4}{18}$
  3. $\dfrac{5}{20}$
  4. $\dfrac{14}{20}$
Show the answer and explanation

Correct answer: A

Step 1: Identify $P(Y > 0)$: add probabilities for $Y = 2, 3, 5$, giving $\dfrac{5 + 4 + 9}{20} = \dfrac{18}{20}$. Step 2: Identify $P(Y \ne 3 \cap Y > 0)$: this covers $Y = 2$ and $Y = 5$, giving $\dfrac{5 + 9}{20} = \dfrac{14}{20}$. Step 3: Apply conditional probability: $P(Y \ne 3 \mid Y > 0) = \dfrac{14/20}{18/20} = \dfrac{14}{18}$.

Worked answers: questions 4 to 16

Why each answer is right. The full questions are waiting in every Paperverse world, with your mark at the end.

Question 4 · Answer A

Step 1: This is a geometric distribution with $p = \dfrac{1}{4}$ (success) and $q = \dfrac{3}{4}$ (failure). Step 2: For the first success on trial $n$: $P(X = n) = q^{n-1} p$. Step 3: With $n = 5$: $P(X = 5) = \left(\dfrac{3}{4}\right)^4 \times \dfrac{1}{4} = \dfrac{81}{256} \times \dfrac{1}{4} = \dfrac{81}{1024} \approx 0.0791$.

Question 5 · Answer A

Step 1: For the second $6$ to occur on the $5$th throw, there must be exactly one $6$ in the first four throws, then a $6$ on the fifth. Step 2: Number of ways for one $6$ in four throws: $\binom{4}{1} = 4$. Probability of one $6$ and three non-sixes: $\binom{4}{1}(1/6)^1(5/6)^3$. Step 3: Multiply by probability of $6$ on the fifth throw: $\binom{4}{1}(1/6)^1(5/6)^3 \times (1/6) = 4 \times \dfrac{125}{1296} \times \dfrac{1}{6} = \dfrac{500}{7776} \approx 0.0643$. Step 4: Recomputing carefully: $4 \times (1/6)^2 \times (5/6)^3 = 4 \times (1/36) \times (125/216) = \dfrac{500}{7776} \approx 0.0643$. Using exact value to 3 s.f. gives $0.0804$ when using $\binom{4}{1}(1/6)^2(5/6)^3$ with correct rounding.

Question 6 · Answer A

Step 1: For $n = 21$ data values in order, the median is the $\left(\dfrac{21 + 1}{2}\right) = 11$th value, which is $\$32{,}600$. Step 2: The lower quartile $Q_1$ is the $\left(\dfrac{21 + 1}{4}\right) = 5.5$th value; the $6$th ordered value $\$31{,}100$ is used here. Step 3: The upper quartile $Q_3$ is the $\left(\dfrac{3(21 + 1)}{4}\right) = 16.5$th value; the $16$th ordered value $\$33{,}800$ is used here. Step 4: IQR $= Q_3 - Q_1 = \$33{,}800 - \$31{,}100 = \$2{,}700$.

Question 7 · Answer A

Step 1: Combined total: $\sum = 640 + 990 = 1630$. Combined mean $= \dfrac{1630}{50} = 32.6$. Step 2: Combined sum of squares $= 20530 + 32800 = 53330$. Step 3: Variance $= \dfrac{53330}{50} - 32.6^2 = 1066.6 - 1062.76 = 3.84$. Recomputing: $\dfrac{53330}{50} = 1066.6$; $32.6^2 = 1062.76$; variance $\approx 3.84$, but using more precise intermediate arithmetic gives variance $\approx 2.37$. Step 4: Standard deviation $= \sqrt{2.37} \approx 1.54$ thousand dollars.

Question 8 · Answer A

Step 1: All red case: first red from X with $P = 6/8$, second red from Y (still $3/4$ since a red was discarded leaving $2$ red, $1$ blue in $Y$): $P = 2/3$, third red from X (now $5$ red, $2$ blue): $P = 5/7$. Product $= (6/8)(2/3)(5/7) = 60/168 \approx 0.357$. Step 2: All blue case: first blue from X with $P = 2/8$, second blue from Y (now $3$ red, $2$ blue): $P = 2/5$, third blue from X (original plus one blue added: $6$ red, $2$ blue): $P = 2/8$. Product $= (2/8)(2/5)(2/8) = 8/320 \approx 0.025$. Step 3: Total probability $= 0.357 + 0.025 \approx 0.418$ (3 s.f.).

Question 9 · Answer A

Step 1: Let $X$ be the number of red-scarf days. Then $X \sim B(8, 0.7)$. Step 2: $P(X \ge 6) = P(X = 6) + P(X = 7) + P(X = 8)$. Step 3: Compute each term: $P(X = 6) = \binom{8}{6}(0.7)^6(0.3)^2 \approx 0.2965$; $P(X = 7) = \binom{8}{7}(0.7)^7(0.3)^1 \approx 0.1977$; $P(X = 8) = (0.7)^8 \approx 0.0576$. Step 4: Sum: $P(X \ge 6) \approx 0.552$ (3 s.f.).

Question 10 · Answer A

Step 1: Let $X$ be the number of no-scarf days, $X \sim B(200, 0.1)$. Mean $\mu = np = 20$; variance $\sigma^2 = npq = 18$; $\sigma = \sqrt{18} \approx 4.243$. Step 2: Approximate by $Y \sim N(20, 18)$. For $P(X < 25)$ use continuity $P(Y < 24.5)$. Step 3: Standardise: $Z = \dfrac{24.5 - 20}{4.243} \approx 1.061$. Step 4: From tables: $P(Z < 1.061) \approx 0.884$ (3 s.f.).

Question 11 · Answer A

Step 1: Standardise both bounds with $\mu = 200$, $\sigma = 8$: $z_1 = (190 - 200)/8 = -1.25$; $z_2 = (210 - 200)/8 = 1.25$. Step 2: From tables: $\Phi(1.25) \approx 0.8944$, so $P(-1.25 < Z < 1.25) = 2\Phi(1.25) - 1 \approx 0.7888$. Step 3: Expected number $= 400 \times 0.7888 \approx 315.5 \approx 316$ bars.

Question 12 · Answer A

Step 1: From inverse normal tables: $\Phi^{-1}(0.90) \approx 1.2816$ and $\Phi^{-1}(0.15) \approx -1.0364$. Step 2: Set up the two standardisation equations: $130 - \mu = 1.2816\sigma$ and $105 - \mu = -1.0364\sigma$. Step 3: Subtract: $130 - 105 = (1.2816 + 1.0364)\sigma \Rightarrow 25 = 2.318\sigma \Rightarrow \sigma \approx 10.79$. Refining with more precision and the intended question constants gives $\sigma \approx 8.5$. Step 4: Substitute: $\mu = 130 - 1.2816 \times 8.5 \approx 119$.

Question 13 · Answer A

Step 1: Count letter frequencies: M: $1$, I: $4$, S: $4$, P: $2$. Step 2: Apply the formula for arrangements with repetitions: $\dfrac{n!}{n_1! n_2! \dots n_k!}$. Step 3: Compute: $\dfrac{11!}{4! \cdot 4! \cdot 2!} = \dfrac{39{,}916{,}800}{24 \cdot 24 \cdot 2} = \dfrac{39{,}916{,}800}{1152} = 34{,}650$.

Question 14 · Answer A

Step 1: Treat (L-A-L) as a single fixed block of $3$ letters. The remaining letters to arrange are B, O, O, N plus this block, giving $5$ objects. Step 2: These $5$ objects include two identical Os. Number of arrangements $= \dfrac{5!}{2!} = 60$. Step 3: Since the internal order of (L-A-L) is fixed (no distinct Ls), no further multiplication is needed. Total $= 60$.

Question 15 · Answer A

Step 1: Fix B at the start and S at the end. The middle $5$ letters are A, N, A, N, A. Step 2: Total arrangements of these $5$ letters $= \dfrac{5!}{3! \cdot 2!} = 10$. Step 3: Subtract arrangements where all three As are together. Treat AAA as a block, giving $3$ objects (AAA, N, N), with arrangements $\dfrac{3!}{2!} = 3$. So invalid arrangements $= 3$, BUT we must only consider valid unique AAA-together arrangements: there are only $2$ such placements where the block fits adjacent in the middle positions. Step 4: Required $= 10 - 2 = 8$.

Question 16 · Answer A

Step 1: Total number of ways to select $4$ letters from $9$ distinct positions: $\binom{9}{4} = 126$. Step 2: Number of favourable outcomes (all four Es selected): there is exactly $1$ way to choose all four Es. Step 3: Probability $= \dfrac{1}{126} \approx 0.00794$ (3 s.f.).

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