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Mathematics 9709/65 October/November 2025: question paper and mark scheme

Cambridge AS & A Level Mathematics (9709), Paper 6 Probability & Statistics 2, October/November 2025. Read both free below, or download them. Done the paper? Get it marked by AI against this mark scheme.

9709_w25_qp_659709_w25_ms_659709/65/O/N/25

Paper
Paper 6 Probability & Statistics 2
Total marks
50
Time
1 hour 15 minutes
Code on the paper
9709/65/O/N/25
9709_w25_ms_65.pdf

9709/65 mark scheme, question by question

Each question as it's printed, and the mark scheme's points for it, as text. Diagrams, tables and graphs are in the PDFs above.

Question 17 marks

Question

A student notes the length, t minutes, of certain lectures. The results for a random sample of 80 lectures are summarised as follows. n = 80 / t = 6430 / t 2 = 519 740 (a) Calculate a 96% confidence interval for the population mean length of the lectures. [6] (b) The method used in part (a) is valid because the sample size was large. Explain why the method would not be valid if the sample size were small. [1] * 0000800000004 * DFD 4

Mark scheme

1(a) 6430 643 B1 Accept 80.4 if nothing better seen. Est ( μ ) = or or 80.375 80 8 80 519740 6430 1 2 64302 M1 Biased [36.61] scores M0A0. ( ) Est σ 2 = 79 80 − = 80 79 519740 − 80 11715 A1 = 37.073 [37.1 3 sf ] or 316 z = 2.054 or 2.055 B1 6430 '37.073' M1 Use of correct formula, any z . ± z× 80 80 = 79.[ 0] to 81.9 or 81.8 [3 sf] A1 Must be an interval. Use of biased [79.0 to 81.8] can score B1M0A0B1M1A1. 6 1(b) CLT would not apply B1 Or distribution of the sample means is not [necessarily] normal. 1

Question 24 marks

Question

A researcher is investigating whether the proportion of families who do not own a car in his town is different from the proportion of the population in the whole country, which is 10.1%. He takes a large random sample of families in his town and finds the proportion of families that do not own a car. (a) Explain why a two-tailed test is appropriate in this context. [1] (b) State suitable null and alternative hypotheses for the test. [1] The researcher calculates the value of the test statistic z and finds that z = 1.82. He carries out the test at the 5% significance level. (c) State the conclusion of the test, explaining your answer. [2] * 0000800000005 * DFD 5

Mark scheme

2(a) Researcher is looking for evidence of ‘different from’ or B1 OE. researcher is not looking for ‘less than’ or ‘more than’ 1 2(b) H0 : p = 0.101 H1 : p ≠ 0.101 B1 [where p is proportion [in his town] not owning a car] 1 2(c) 1.82 < 1.96 M1 Valid comparison, accept 0.034 > 0.025 OE. [Do not reject H0 ] A1 In context, not definite, no contradictions. Insufficient evidence that [town] proportion is different from 10.1% If p is used, it must be defined. SC: if in 2(b) H1 : p > 0.101 [or p < 0.101 ], then 1.82 > 1.645 or 0.0344 < 0.05 scores M1A0. 2

Question 38 marks

Question

A certain website receives an average of n hits per hour. In the past the value of n was 14.4. After making some improvements, the owner of the website wishes to test whether the value of n has increased. He chooses a 10-minute period at random and finds that there were 6 hits during this period. You may assume that the number of hits the website receives in any given time period follows a Poisson distribution. (a) Carry out the test at the 2.5% significance level. [6] (b) Explain whether it is possible that a Type I error or a Type II error or both may have been made in carrying out the test. [2] * 0000800000006 * DFD 6

Mark scheme

3(a) H0 : λ = 2.4 or μ = 14.4 B1 OE. H1 : λ > 2.4 or μ > 14.4 [λ =] 2.4 soi B1 2.42 2.43 2.44 2.45 M1 Any λ . 1 − e−2.4 1 + 2.4 + + + + = Allow one end error. 2! 3! 4! 5! This expression must be seen, accept fully correct sigma 1 − e−2.4 (1 + 2.4 + 2.88 + 2.304 + 1.3824 + 0.6636) = notation. 1 − ( 0.09072 + 0.2177 + 0.2613 + 0.2090 + 0.1254 + 0.060196 ) = 0.0357 (3 sf) A1 SC unjustified answer of 0.0357 scores B1M0B1. '0.0357' > 0.025 M1 Valid comparison. [Do not reject H0 ] A1FT In context, not definite, no contradictions. Insufficient evidence that μ has increased Condone sufficient evidence that μ has not increased OE. 6 3(b) H0 not rejected, so Type II error may have been made. B1FT OE. H0 not rejected, so Type I error cannot have been made. B1FT OE. ‘H0 not rejected’ is necessary, but only needs to be stated once 2

Question 410 marks

Question

A sports fan produces a magazine each month. (a) On average 1 in 540 characters in the magazine is incorrect. (i) Use an appropriate approximating distribution to find the probability that, in a magazine containing 2430 characters, there are at least 4 incorrect characters. [3] (ii) Justify your approximating distribution. [1] * 0000800000007 * DFD 7 (b) On average the number of copies, X, of the magazine sold per month is 123.4. (i) State one condition for X to have a Poisson distribution. [1] You are now given that X has a Poisson distribution. (ii) Use an appropriate approximating distribution to find the probability that in a randomly chosen month, more than 130 copies of the magazine are sold. [5] * 0000800000008 * DFD 8

Mark scheme

4(a)(i) 2430 B1 SOI. [λ =] or [ λ =] 4.5 540 4.52 4.53 M1 Any λ . 1 − e−4.5 1 + 4.5 + + = Allow one end error. 2! 3! This expression must be seen, accept fully correct sigma 1 − e−4.5 (1 + 4.5 + 10.125 + 15.1875) = notation. 1 − ( 0.01111 + 0.04999 + 0.11248 + 0.16872 ) = 0.658 (3sf) A1 SC unjustified answer of 0.658 scores B1M0B1. 1 SC use of B 2430, and probability = 0.658 scores 540 B2. Note: use of normal could score B1 only. 3 4(a)(ii) [ n =] 2430 > 50 B1 Explicit, both needed. Note: n large and p small is insufficient. and [ np = ] 4.5 < 5 or [ p = ] 0.00185 < 0.01 1 4b(i) Mean of X is constant B1 Any of these stated in context OE. Sales occur singly or randomly or independently of each other 1 4(b)(ii) N (123.4,123.4 ) B1 SOI. B1 for N (123.4,) B1 B1 for Var( X ) = 123.4 130.5 − '123.4' M1 For standardising with their values [ = 0.639] Condone with no cc or incorrect cc. '123.4' 1 − Φ ( '0.639') M1 Correct area consistent with their working. = 0.261 (3 sf) A1 5 D ~ N ( 2.10 − 1.51, 0.12 + 0.09 ) = B1 B1 for N ( 2.10 − 1.51,) OE. N ( 0.59, 0.21)

Question 510 marks

Question

The masses, in kg, of large and small bags of tomatoes have the distributions L ~ N(2.10, 0.12) and S ~ N(1.51, 0.09) respectively. (a) Find P(L 2 S + 0.5) . [5] * 0000800000009 * DFD 9 The price of tomatoes is $4.30 per kg. (b) A large bag of tomatoes and a small bag of tomatoes are chosen at random. Find the probability that the total price of the tomatoes in the two bags is less than $16. [5] * 0000800000010 * DFD 10

Mark scheme

5(a) B1 B1 for Var( D) = 0.12 + 0.09 SOI. 0.5 − '0.59' M1 For standardising with their values. [ = −0.196] '0.21' ( ) ( 1 − Φ ' − 0.196' = Φ '0.196' ) M1 Correct area consistent with their working. = 0.578 (3 sf) A1 5 5(b) ( T ~ N 4.3 × ( 2.10 + 1.51) , 4.32 × ( 0.12 + 0.09) ) B1 B1 for N ( 4.3 × ( 2.10 − 1.51) , ) . N (15.532, 3.8829) = M1 M1 for Var( T ) = 4.32 × ( 0.12 + 0.09) SOI. 16 − '15.523' M1 For standardising with their values. [ = 0.242] '3.8829' ( Φ '0.242' ) M1 Correct area consistent with their working. = 0.596 (3 sf) A1 16 − '3.61' Accept alternative method: 4.30 . '0.21' 5

Question 611 marks

Question

f (x) a x O b The diagram shows the graph of the probability density function, f, of a random variable X. The graph is a straight line from (0, a) to (b, 0) where a and b are constants. Elsewhere f (x) = 0 . (a) Find an expression for b in terms of a. [2] (b) Given that E (X ) = 49 find the value of a. [5] * 0000800000011 * DFD 11 (c) Using the value of a found in part (b) find the value of k such that P(X 1 k) = 34 . [4] * 0000800000012 * DFD 12 Additional page If you use the following page to complete the answer to any question, the question number must be clearly shown.

Mark scheme

6(a) 1 M1 Attempt area of triangle = 1 . ab = 1 2 b a 0 − b x + a dx = 1 and attempt to integrate with correct limits to reach an equation in a and b . 2 A1 b= a 2 6(b) a2 a B1FT FT their b . f ( x) = a − x or f ( x) = a − x SOI. 2 b 2 M1 Attempt to integrate xf ( x ) , ignore limits. a b a2 x2 2 2 0 ax − 2 dx or 0 b x − 2 x 2 dx b FT their linear f ( x ) . 2 b A1FT FT their b . ax 2 a 2 x3 a 2 x 2 2 x3 1 Correct integration and limits. − = or − 2 = b 2 6 0 3a b 3b 0 3 Could be in terms of a or a and b . 2 4 1 4 2 M1 4 = or b = and b = ' ' Equate their integral to to obtain an equation in a . 3a 9 3 9 a 9 3 A1 a= 2 5 6(c) k 3 9 k 3 9 M1 Attempt to integrate f ( x ) , with limits 0 to k . 0 ' ' − 0.5 ' 'x dx = 2 4 0 − x dx 2 8 FT their linear f ( x ) and their a . k 3 9 2 3 2 x − 16 x = 4 0 3 9 3 M1 Attempting to find a quadratic equation in k in any form. k − k2 = 3k 2 − 8k + 4 = 0 2 16 4 2 A1 ( 3k − 2 )( k − 2 ) = 0 k = 2 , k = 3 2 A1 4 k= only with explanation k b= so reject k = 2 . 3 3 4

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Where can I find the 9709/65 October/November 2025 mark scheme?

On this page, free: the mark scheme for AS & A Level Mathematics 9709/65, October/November 2025 (9709_w25_ms_65), and the question paper (9709_w25_qp_65), to read or download, with each question's marking points written out underneath.

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Mathematics 9709/65 for October/November 2025 is out of 50 marks, with 1 hour 15 minutes to answer it.

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