GCE. Mathematics. Mark Scheme for June Advanced GCE 4733/01 Probability and Statistics 2. Oxford Cambridge and RSA Examinations

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GCE Mathematics Advanced GCE 4733/0 Probability and Statistics Mark Scheme for June 00 Oxford Cambridge and RSA Examinations

OCR (Oxford Cambridge and RSA) is a leading UK awarding body, providing a wide range of qualifications to meet the needs of pupils of all ages and abilities. OCR qualifications include AS/A Levels, Diplomas, GCSEs, OCR Nationals, Functional Skills, Key Skills, Entry Level qualifications, NVQs and vocational qualifications in areas such as IT, business, languages, teaching/training, administration and secretarial skills. It is also responsible for developing new specifications to meet national requirements and the needs of students and teachers. OCR is a not-for-profit organisation; any surplus made is invested back into the establishment to help towards the development of qualifications and support which keep pace with the changing needs of today s society. This mark scheme is published as an aid to teachers and students, to indicate the requirements of the examination. It shows the basis on which marks were awarded by Examiners. It does not indicate the details of the discussions which took place at an Examiners meeting before marking commenced. All Examiners are instructed that alternative correct answers and unexpected approaches in candidates scripts must be given marks that fairly reflect the relevant knowledge and skills demonstrated. Mark schemes should be read in conjunction with the published question papers and the Report on the Examination. OCR will not enter into any discussion or correspondence in connection with this mark scheme. OCR 00 Any enquiries about publications should be addressed to: OCR Publications PO Box 5050 Annesley NOTTINGHAM NG5 0DL Telephone: 0870 770 66 Facsimile: 03 5560 E-mail: publications@ocr.org.uk

4733/0 Mark Scheme June 00 (i)(a) P( 6) = 0.8675 = 0.35 (b) Po(0.4) 0.4 0.4 e! = 0.05795 (ii) E.g. Contagious so incidences do not occur independently, or more cases in winter so not at constant average rate (i) B(0, 0.35) P(< 3) = 0.66 (ii) Binomial requires being chosen independently, which this is not, but unimportant as population is large 3 (i) 3 40 = (0.) = 0.84 = 9.5[06] (ii) B(90, 0.) N(8, 4.4) 9.5 8 = (0.3953) 4.4 = 0.6537 = 0.3463 4 () H 0 : p = 0.4, H : p > 0.4 R ~ B(6, 0.4): P(R ) = 0.09 > 0.0 () CR R and < Probability 0.0049 Do not reject H 0. Insufficient evidence that proportion of commuters who travel by train has increased 5 (i) (a) 5 30.645 0 = 3.6 Therefore critical region is t > 3.6 (b) P(t < 3.6 = 35) 3.6 35 [ =.578] 5/ 0 0.0645 (ii) (3.6 ) = 0 = 3.6 0 + 0.6m = 3.6 m =.936 or.8786 or.8558:..97: M0 Or 0.3 or 0.33 Po(0.4) stated or implied Correct formula, any numerical 3 Answer, art 0.058. Interpolation in tables: B B Contextualised reason, referred to conditions: B. No marks for mere learnt phrases or spurious reasons, e.g. not just independently, singly and constant average rate. See notes. 3 B(0, 0.35) stated or implied Tables used, e.g. 0.538 or 0.3373, or formula term Answer 0.66 or better or 0.6 only B Focus on Without replacement negating independence condition. It doesn t negate constant probability condition but can allow B if selected. See notes B 3 B 6 B B FT 7 B FT 4 * dep* 3 FT 4 Standardise and equate to, allow errors,, cc 0.84 seen Answer, 9.5 or in range [9.50, 9.5], c.w.o. B(90, 0.) stated or implied N, their np variance their npq, allow errors Standardise with np and npq, allow, cc errors, e.g..396,.448,.458,.486,.47; npq and cc correct Answer, a.r.t. 0.346 [NB: 0.349 from Po: /6] Fully correct, B. Allow. p omitted or used in both, or > wrong: B only. x or x or 6.4 etc: B0 B(6, 0.4) stated or implied, allow N(6.4, 3.84) Allow for P( 0) = 0.9808, and < 0.99, or z =.09 or p = 0.08, but not P( ) = 0.995 or P(= ) = 0.043 Explicit comp with.0, or z<.36, not from or = Must be clear that it s and not Needs to be seen, allow 0.995 here, or p =.0047 from N Needs like-with-like, P(R ) or CR R Conclusion correct on their p or CR, contextualised, not too assertive, e.g. evidence that needed. Normal, z =.34, reject [no cc] can get 6/7 30 + 5z/0, allow but not just, allow errors z =.645 seen, allow Critical value, art 3.6 > c or c, FT on c provided > 30, can t be recovered. Withhold if not clear which is CR Need their c, final answer < 0.5 and = 35 at least, but allow answer > 0.5 if consistent with their (i) Standardise their CV with 35 and 0 or 0 Answer in range [0.064, 0.065], or 0.5 from.96 in (a) Standardise c with, equate to, can be implied by: = their c Equate and solve for m, allow from 30 or 35 Answer, a.r.t., c.a.o. MR: 0.05: A0, 6.7 FT Ignore variance throughout (ii)

4733/0 Mark Scheme June 00 6 (a) N(4, 4) B Normal, mean 4 stated or implied 30.5 4 = (.37) B Variance or SD equal to mean 4 Standardise 30 with and, allow cc or errors, e.g. = 0.093.3 or.03 ; 30.5 and correct 5 Answer in range [0.09, 0.095] (b)(i) p or np [= 96] is too large B Correct reason, no wrong reason, don t worry about 5 or 5 7 () () (ii) Consider (00 E) (00 E) ~ Po(4) P( 6) [= 0.785] = 0.49 H 0 : = 56.8 H : 56.8 x = 7085/300 = 56.95 300 973847 56.95 99 300 =.8637 56.95 56.8 z =.535.8637 / 300.535 <.645 or 0.064 > 0.05 CV 56.8.645 56.96 > 56.95 Do not reject H 0 ;.8637 300 insufficient evidence that mean thickness is wrong 8 (i) a a x kx dx k a Correctly obtain k = a AG (ii) 3 x 3 d 3 x x x 3x dx 3 Answer ¾ ( ) (iii) a a ( ) x dx x a = 0.9 a 0.9, 0 a a = 4.3 4 B B FT FT B 3 5 * dep* indept 4 Consider complement Po(000.0) Poisson tables used, correct tail, e.g. 0.37 or 0.07 Answer a.r.t. 0.5 only Both correct One error: B, but not x, etc 56.95 or 57.0 seen or implied Biased [.854] : M0A0 Unbiased estimate method, allow if 99 seen anywhere Estimate, a.r.t..86 [not.85] Standardise with 300, allow errors, cc z [.53,.54] or p [0.06, 0.063], not.535 Compare explicitly z with.645 or p with 0.05, or p > 0., not from = 56.95 56.8 + z/300, needn t have, allow errors z =.645 c = 56.96, FT on z, and compare 56.95 [c L = 56.64] Consistent first conclusion, needs 300, correct method and comparison Conclusion stated in context, not too assertive, e.g. evidence that needed Integrate f(x), limits and (at some stage) Correct indefinite integral Correctly obtain given answer, don t need to see treatment of but mustn t be wrong. Not k a + Integrate xf(x), limits and (at some stage) [x 4 is not MR] Integrate x f(x), correct limits Either = ½ or E(X ) = 3 stated or implied, allow k, k/ Subtract their numerical, allow letter if subs later Final answer ¾ or 0.75 only, cwo, e.g. not from = ½. [SR: Limits 0, : can get (i) B, (ii) ] Equate f(x)dx, one limit, to 0.9 or 0.. [Normal: 0 ex 4] Solve equation of this form to get a = number Use logs or equivalent to solve a = number Answer, a.r.t. 4.3. T&I: () B or B0

4733/0 Mark Scheme June 00 Specimen Verbal Answers Cases of infection must occur randomly, independently, singly and at constant average rate B0 Above + but it is contagious B Above + but not independent as it is contagious B Not independent as it is contagious B Not constant average rate, or not independent B0 Not constant average rate because contagious [needs more] B Not constant average rate because more likely at certain times of year B Probabilities changes because of different susceptibilities B0 Not constant average rate because of different susceptibilities B Correct but with unjustified or wrong extra assertion [scattergun] B More than one correct assertion, all justified B Valid reason (e.g. contagious ) but not referred to conditions B [Focus is on explaining why the required assumptions might not apply. No credit for regurgitating learnt phrases, such as events must occur randomly, independently, singly and at constant average rate, even if contextualised.] Don t need either yes or no. No it doesn t invalidate the calculation [no reason] B0 Binomial requires not chosen twice [false] B0 Probability has to be constant but here the probabilities change B0 Same but probability of being chosen [false, but allow B] B Needs to be independently chosen but probabilities change [confusion] B0 Needs to be independent but one choice affects another [correct] B The sample is large so it makes little difference [false] B0 The population is large so it makes little difference [true] B Both correct and wrong reasons (scattergun approach) B [Focus is on modelling conditions for binomial: On every choice of a member of the sample, each member of the population is equally likely to be chosen; and each choice is independent of all other choices. Recall that in fact even without replacement the probability that any one person is chosen is the same for each choice. Also, the binomial independence condition does require the possibility of the same person being chosen twice.] 3

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