A Level Further Mathematics 9231 Paper 43, May/June 2023

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Question paper

9231/43 · May/June 2023

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1

The continuous random variable X has probability density function f given by f(x)={16(x−13−x−23)1⩽x⩽27,0otherwise.

a

Find the cumulative distribution function of X.

[3]
b

The random variable Y is defined by Y=X13. Find the probability density function of Y.

[3]
c

Find the exact value of the median of Y.

[2]
2

Shane is studying the lengths of the tails of male red kangaroos. He takes a random sample of 14 male red kangaroos and measures the length of the tail, x m, for each kangaroo. He then calculates a 90% confidence interval for the population mean tail length, μ m, of male red kangaroos. He assumes that the tail lengths are normally distributed and finds that 1.11⩽μ⩽1.14. Find the values of Σx and Σx2 for this sample.

[6]
3

A large number of students took two test papers in mathematics. The teacher believes that the marks obtained in Paper 1 will be higher than the marks obtained in Paper 2. She chooses a random sample of 9 students and compares their marks. The marks are shown in the table.

StudentABCDEFGHI
Paper 1467355648642666860
Paper 2416661639040584270
a

Carry out a Wilcoxon matched-pairs signed-rank test, at the 5% significance level, to test whether the data supports the teacher's belief.

[7]
b

State an assumption that you have made in carrying out the test in part (a).

[1]
4

An inspector is checking the lengths of metal rods produced by two machines, X and Y. These rods should be of the same length, but the inspector suspects that those made by machine X are shorter, on average, than those made by machine Y. The inspector chooses a random sample of 80 rods made by machine X and a random sample of 60 rods made by machine Y. The lengths of these rods are x cm and y cm respectively. Her results are summarised as follows. Σx=164.0Σx2=338.1Σy=124.8Σy2=261.1

a

Test at the 10% significance level whether the data supports the inspector's suspicion.

[8]
b

Give a reason why it is not necessary to make any assumption about the distributions of the lengths of the rods.

[1]
5

The random variable X has probability generating function GX(t) given by GX(t)=k(1+3t+4t2), where k is a constant.

a

Show that E(X)=118.

[3]
b

The random variable Y has probability generating function GY(t) given by GY(t)=13t2(1+2t). The random variables X and Y are independent and Z=X+Y. Find the probability generating function of Z, expressing your answer as a polynomial in t.

[2]
c

Use your answer to part (b) to find the value of Var⁡(Z).

[3]
d

Write down the most probable value of Z.

[1]
6

A scientist is investigating whether the ability to remember depends on age. A random sample of 150 students in different age groups is chosen. Each student is shown a set of 20 objects for thirty seconds and then asked to list as many as they can remember. The students are graded A or B according to how many objects they remembered correctly: grade A for 16 or more correct and grade B for fewer than 16 correct. The results are shown in the table.

Age of students
11--12 years13--14 years15--16 years
Grade A251619
Grade B284517
a

Carry out a χ2-test at the 2.5% significance level to test whether grade is independent of age of student.

[7]
b

The scientist decides instead to use three grades: grade A for 16 or more correct, grade B for 10 to 15 correct and grade C for fewer than 10 correct. The results are shown in the following table.

Age of students
11--12 years13--14 years15--16 years
Grade A251619
Grade B122711
Grade C16186

With this second set of data, the test statistic is calculated as 10.91. Complete the χ2-test at the 2.5% significance level for this second set of data.

[2]
c

State, with a reason, whether you would prefer to use the result from part (a) or part (b) to investigate whether the ability to remember depends on age.

[1]

Mark scheme

9231/43 · May/June 2023

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1a · 3 marks

  • M1

    Integrate f(x), + c not required, at least one power correct.

  • A1

    14x23−12x13+14

  • A1

    Correct ranges including 1⩽x⩽27 associated with their F(x) F(x)=0 for x<1 and F(x)=1 for x>27

1b · 3 marks

  • M1

    G(y)=14(y2−2y+1)

  • A1

    g(y)=12(y−1)

  • B1

    For 1⩽y⩽3

1c · 2 marks

  • M1

    14(y2−2y+1)=12,(y−1)2=2 OE

  • A1

    [y=] 1+2

2 · 6 marks

  • M1

    xˉ+1.771s214=1.14 or xˉ−1.771s214=1.11

  • B1

    [Add: xˉ=12(1.14+1.11)=1.125]Σx=15.75

  • M1

    Subtract or substitute: s214=12(1.14−1.111.771)

  • A1

    s2=0.00100[4] or s=0.0316[9]

  • M1

    Σx2=13s2+(Σx)214

  • A1

    Σx2=17.7 (3)

3a · 7 marks

  • M1

    Differences: 5 7 -6 1 –4 2 8 26 –10

  • A1

    Ranks: 4 6 -5 1 –3 2 7 9 –8

  • A1

    [P=29] Q=16

  • B1

    H0: population medians equal or m1=m2 H1: population median X>population median Y or m1>m2

  • B1

    Critical value = 8

  • M1

    16 > 8 and accept H0 / not significant

  • A1

    Insufficient evidence to support teacher’s belief or insufficient evidence that the marks/median in Paper 1 are/is higher than the marks/median in Paper 2

3b · 1 mark

  • B1

    The population differences are symmetrical (about the median difference)

4a · 8 marks

  • B1

    H0: μx=μy, H1: μx<μy

  • B1

    sx2=179[338.1−164280][=0.02405] and sy2=159[261.1−124.8260][=0.02569]

  • M1

    s2=0.0240580+0.0256960

  • A1

    s2=0.0007289 or s=0.026998 or 0.0270

  • M1

    z=164.080−124.860s

  • A1

    −1.11

  • M1

    ‘1.11’ < 1.282 Accept H0 / not significant

  • A1

    Insufficient evidence to support the inspector’s suspicion/ Insufficient evidence that the (mean) lengths of rods from machine X are shorter than the (mean) lengths of rods from machine Y

4b · 1 mark

  • B1

    Large sample sizes OR central limit theorem applies.

5a · 3 marks

  • B1

    [GX(t)=k(1+3t+4t2)]k(1+3+4)=1, k=18

  • M1

    GX′(t)=k(3+8t),

  • A1

    E(X)=GX′(1)=118

5b · 2 marks

  • M1

    GZ(t)=18(1+3t+4t2)×13t2(1+2t)

  • A1

    124(t2+5t3+10t4+8t5)

5c · 3 marks

  • M1

    GZ′(t)=124(2t+15t2+40t3+40t4) GZ′′(t)=124(2+30t+120t2+160t3)

  • M1

    Var(X)=GZ′′(1)+GZ′(1)−(GZ′(1))2=124(312)+9724−(9724)2

  • A1

    0.707

5d · 1 mark

  • B1

    (Z=)4

6a · 7 marks

  • B1

    H0: grade is independent of age H1: grade is not independent of age

  • M1

    Calculate expected values, shown in table in bold (at least 2 correct)

  • A1

    6 correct expected values or expressions: 21.2, 24.4, 14.4, 31.8, 36.6, 21.6

  • M1

    Calculate chi-squared values: 0.6811+2.8918+1.4694+0.4541+1.9279+0.9796

  • A1

    8.40[4]

  • M1

    Tabular value, 2 degrees of freedom = 7.378 ‘8.404’ > 7.378 and reject H0/significant

  • A1

    Sufficient evidence to suggest that grade is not independent of age.

6b · 2 marks

  • M1

    Value, 4 degrees of freedom = 11.14 10.91 < 11.14 Accept H0/not significant

  • A1

    Insufficient evidence to suggest that grade is not independent of age.

6c · 1 mark

  • B1

    For example, result in part (b) because the table contains more information e.g. More degrees of freedom, more groups, more detail

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