Cambridge A Level Mathematics - Further 9231 — 2020 May/June Paper 4 · Variant 3

9231/43/M/J/20 · 6 questions · 50 marks · ≈56 min

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Mark scheme13 pages

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Questions as text

Q1 · Young children are learning to read using two different reading schemes, A and B

1 Young children are learning to read using two different reading schemes, A and B. The standards achieved are measured against the national average standard achieved and classified as above average, average or below average. For two randomly chosen groups of young children, the numbers in each category are shown in the table. Standard achieved Above average Average Below average Scheme A 31 35 22 Scheme B 19 50 43 Test at the 5% significance level whether standard achieved is independent of the reading scheme used. [6] .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... ....................................................................................................................................................................

Mark scheme: 1 31 E = 22 35 E = 37.4 22 E = 28.6 19 E = 28 50 E = 47.6 43 E = 36.4 M1A1 ( ) ( ) ( ) ( ) ( ) ( ) 2 2 2 2 2 2 31 22 35 37.4 22 28.6 19 28 50 47.6 43 36.4 22 37.4 28.6 28 47.6 36.4 − − − − − − + + + + + M1 9.569 (9.57) A1 Tabular value = 5.991 and comparing 9.569 > 5.991 M1 So standard achieved is dependent on reading scheme used A1 6

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Q2 · A random sample of 40 observations of a random variable X and a random sample of 50…

2 A random sample of 40 observations of a random variable X and a random sample of 50 observations of a random variable Y are taken. The resulting values for the sample means, x and y , and the unbiased estimates, sx2 and s 2,y for the population variances are as follows. x = 24 .4 y = 17 .2 s 2x 2 = 10 .2 s y = 11 .1 Find a 90% confidence interval for the difference between the population means of X and Y. [5] .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... .................................................................................................................................................................... ....................................................................................................................................................................

Mark scheme: 2 2 10.2 11.1 0.477 40 50 = + = s M1A1 CI = ( ) 24.4 17.2 − ± zs M1 = ( ) 24.4 17.2 1.645 0.477 − ± A1 = [6.06, 8.34] A1 5

More questions on Inference using normal and t-distributions

Q3 · The continuous random variable X has probability density function f given by 1 5 x 0 G x…

3 The continuous random variable X has probability density function f given by 1 5 x 0 G x 1 2, - x) 2 G x G 5, f ( x) = 152 ( 5 *0 otherwise. (a) Find the cumulative distribution function of X. 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(b) Find the median value of X. 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(c) Find E ( X2 ) . 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(d) Find P ( 1 G X G 3) . 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Mark scheme: 3(a) ( ) ( ) 2 2 , 0 2 10 F 1 2 10 , 2 5 15 3 x x x x x x  <  =   − −     = 0 for x < 0 and = 1 for x > 5 A1 3 3(b) F(m) = ½ so 2 2 20 35 0 − + = m m M1 1 5 30 2.26 2 = − = m A1 2 3(c) E(X2) = ( ) 2 5 2 2 0 2 2 . d 5 . d 5 15 x x x x x x + −   = 4 4 3 2 5 20 15 3 4       + −               x x x M1 = 6.5 A1 2 Question Answer Marks 3(d) F(3) – F(1) M1 = 11 1 19 15 10 30 − = A1 Alternative method for 3(d) ( ) 2 3 2 2 1 2 2 2 d 5 d 5 5 15 10 15 2       + − = + −                 x x x x x x x M1 = 3 1 19 10 3 30 + = A1 2

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Q4 · The discrete random variable X has probability generating function G X ( t) given by =…

4 The discrete random variable X has probability generating function G X ( t) given by = 0.2t + 0 .5t + 0 .3t . G X ( t) 2 3 The random variable Y is the sum of two independent observations of X. (a) Find the probability generating function of Y, giving your answer as an expanded polynomial in t. 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(b) Use the probability generating function of Y to find E(Y) and Var(Y). 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Mark scheme: 4(a) GX (t) = 2 3 0.2 0.5 0.3 + + t t t B1 GY (t) = ( ) 2 3 0.2 0.5 0.3 + + t t t 2 M1 = 2 3 4 5 6 0.04 0.2 0.37 0.3 0.09 + + + + t t t t t A1 3 4(b) G’Y(t) = 2 3 4 5 0.08 0.6 1.48 1.5 0.54 + + + + t t t t t M1 E(Y) = 4.2 A1 G’’Y(t) = 2 3 4 0.08 1.2 4.44 6 2.7 + + + + t t t t M1 Use G’’Y (1) + G’Y(1) – (G’Y(1))2 M1 Var(Y) = 14.42 + 4.2 – 4.22 = 0.98 A1 5

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Q5 · Students at two colleges, A and B, are competing in a computer games challenge

5 Students at two colleges, A and B, are competing in a computer games challenge. (a) The time taken for a randomly chosen student from college A to complete the challenge has a normal distribution with mean n minutes. The times taken, x minutes, are recorded for a random sample of 10 students chosen from college A. The results are summarised as follows. / x = 828 / x 2 = 68622 A test is carried out on the data at the 5% significance level and the result supports the claim that n 2 k . Find the greatest possible value of k. 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(b) A random sample of 8 students is chosen from college B. Their times to complete the same challenge give a sample mean of 79.8 minutes and an unbiased variance estimate of 9.966 minutes2. Use a 2-sample test at the 5% significance level to test whether the mean time for students at college B to complete the challenge is the same as the mean time for students at college A to complete the challenge. You should assume that the two distributions are normal and have the same population variance. 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Mark scheme: 5(a) 2 2 828 1 828 82.8 68622 7.0667 10 9 10   = = = − =     x s 2 82.8 10 −k t s  where t = 1.833 (M1 if equality, A1 for inequality and correct t value) M1 A1 81.259 81.3 k k   A1 4 5(b) H0: μ μ = A B H1: μ μ ≠ A B B1 Pooled variance = 9 7.0667 7 9.966 10 8 2 × + × + − = 2 ps M1 = 8.335 A1 82.8 79.8 1 1 10 8 − = + p t s = 2.19 M1A1 Compare with 2.12 (t(16, 0.975)) and reject H0 M1 Population means are not the same A1 7

More questions on Inference using normal and t-distributions

Q6 · A biologist is studying the effect of nutrients on the heights to which plants grow

6 A biologist is studying the effect of nutrients on the heights to which plants grow. A random sample of 24 similar young plants is divided into two equal groups A and B. The plants in group A are fed with nutrients and water and the plants in group B are given only water. After four weeks, the height, in cm, of each plant is measured and the results are as follows. Group A 12.3 11.8 12.1 13.2 11.1 10.6 13.8 12.0 12.2 12.4 13.5 13.9 Group B 11.7 10.8 10.9 11.3 11.2 12.6 11.0 10.5 11.9 12.5 10.7 11.6 The biologist decides to carry out a test at the 5% significance level to test whether the nutrients have resulted in an increase in growth. (a) She carries out a Wilcoxon rank-sum test. Give a reason why this is an appropriate choice of test. 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(b) Carry out the Wilcoxon rank-sum test for these results. 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Additional Page If you use the following lined page to complete the answer(s) to any question(s), the question number(s) must be clearly shown. ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................ ............................................................................................................................................................................

Mark scheme: 6(a) Difference of location test for populations not known to be normal B1 1 Question Answer Marks 6(b) 10.6 2 10.5 1 11.1 7 10.7 3 11.8 12 10.8 4 12.0 14 10.9 5 12.1 15 11.0 6 12.2 16 11.2 8 12.3 17 11.3 9 12.4 18 11.6 10 13.2 21 11.7 11 13.5 22 11.9 13 13.8 23 12.5 19 13.9 24 12.6 20 M1 Total ranks: 109 or 191 A1 H0: = x y m m H1: > x y m m B1 Use normal approximation with attempts at mean and variance M1 mean = 150, variance = 300 A1 Question Answer Marks 6(b) 109.5 150 2.338 300 − = − M1A1 Probability 0.0097 A1 This is less than 0.05, so reject H0 M1 There is evidence of an effect on growth A1 10

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