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Linear functions of a DRVAQA A-Level Further Maths: Subtopic test

10 questions, 27 marks

AQA A-Level Further Maths

Linear functions of a DRV

Total 27 marks

Name

Class

Date

  1. 1
    The discrete random variable XX has E(X)=5E(X)=5 and Var(X)=4\mathrm{Var}(X)=4. The random variable YY is defined by Y=3X+2Y=3X+2.
    (a)
    Find E(Y)E(Y).
    [1 mark]
    • A1717
    • B1515
    • C2121
    • D77
    (b)
    Find Var(Y)\mathrm{Var}(Y).
    [1 mark]
    • A1212
    • B3838
    • C66
    • D3636
    (c)
    Find the standard deviation of 2−4X2-4X.
    [2 marks]

    Total for question 1: 4 marks

  2. 2
    The number of special meals, XX, sold at a café in one day has E(X)=8.5E(X)=8.5 and Var(X)=2.25\mathrm{Var}(X)=2.25. The daily profit, in pounds, is T=6X−20T=6X-20.
    (a)
    Find the expected daily profit E(T)E(T).
    [1 mark]
    • A£51\pounds51
    • B−£69-\pounds69
    • C£31\pounds31
    • D−£11.5-\pounds11.5
    (b)
    Find the standard deviation of the daily profit.
    [1 mark]
    • A£81\pounds81
    • B£9\pounds9
    • C£13.5\pounds13.5
    • D£1.5\pounds1.5
    (c)
    The café changes its pricing so that the daily profit becomes T=8X−30T=8X-30. Find E(T)E(T) and Var(T)\mathrm{Var}(T).
    [2 marks]

    Total for question 2: 4 marks

  3. 3
    The noon temperature CC (∘^\circC) in a greenhouse is modelled as a discrete random variable with E(C)=22E(C)=22 and standard deviation 33. The temperature in degrees Fahrenheit is F=1.8C+32F=1.8C+32.
    (a)
    Find E(F)E(F) and Var(F)\mathrm{Var}(F).
    [3 marks]
    (b)
    The reading Y=aC+bY=aC+b, with a>0a>0, is standardised so that E(Y)=0E(Y)=0 and Var(Y)=1\mathrm{Var}(Y)=1. Find the values of aa and bb.
    [4 marks]

    Total for question 3: 7 marks

  4. 4
    The discrete random variable XX has distribution P(X=1)=0.3P(X=1)=0.3, P(X=2)=0.4P(X=2)=0.4, P(X=3)=0.2P(X=3)=0.2 and P(X=4)=0.1P(X=4)=0.1. The random variable YY is defined by Y=5−2XY=5-2X.
    (a)
    (i) Find E(X)E(X) and Var(X)\mathrm{Var}(X). (ii) Hence find E(Y)E(Y) and Var(Y)\mathrm{Var}(Y).
    [6 marks]
    (b)
    Find the probability distribution of YY and use it to calculate E(Y)E(Y) and Var(Y)\mathrm{Var}(Y) directly. State whether your results agree with part (a).
    [6 marks]

    Total for question 4: 12 marks

End of questions

Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).