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Further Statistics 2: Continuous probability distributionsEdexcel A-Level Further Maths: Topic test

20 questions, 54 marks

Edexcel A-Level Further Maths

Further Statistics 2: Continuous probability distributions topic test

Total 54 marks

Name

Class

Date

  1. 1
    The continuous random variable XX is the time, in hours, that a student spends on a task. It has probability density function f(x)=kx(3−x)\mathrm{f}(x)=kx(3-x) for 0≤x≤30\leq x\leq3, and f(x)=0\mathrm{f}(x)=0 otherwise, where kk is a constant.
    (a)
    What is the value of kk?
    [1 mark]
    • A92\frac92
    • B29\frac29
    • C13\frac13
    • D19\frac19
    (b)
    What is P(X>2)\mathrm{P}(X>2)?
    [1 mark]
    • A2027\frac{20}{27}
    • B29\frac29
    • C727\frac{7}{27}
    • D49\frac49
    (c)
    Find E(X)\mathrm{E}(X).
    [2 marks]

    Total for question 1: 4 marks

  2. 2
    The continuous random variable YY is the waiting time, in minutes, for a lift. It has cumulative distribution function F(y)=0\mathrm{F}(y)=0 for y<0y<0, F(y)=4y−y24\mathrm{F}(y)=\dfrac{4y-y^2}{4} for 0≤y≤20\leq y\leq2, and F(y)=1\mathrm{F}(y)=1 for y>2y>2.
    (a)
    What is the probability density function of YY for 0≤y≤20\leq y\leq2?
    [1 mark]
    • A1−y21-\dfrac y2
    • B4y−y24\dfrac{4y-y^2}{4}
    • C4−y4\dfrac{4-y}{4}
    • Dy24−y\dfrac{y^2}{4}-y
    (b)
    What is P(0.5<Y<1.5)\mathrm{P}(0.5<Y<1.5)?
    [1 mark]
    • A0.93750.9375
    • B0.43750.4375
    • C0.06250.0625
    • D0.50.5
    (c)
    Find the median of YY, giving your answer to 3 decimal places.
    [2 marks]

    Total for question 2: 4 marks

  3. 3
    The time TT, in minutes, that a customer waits for a bus is uniformly distributed over the interval [0,12][0,12].
    (a)
    Write down E(T)\mathrm{E}(T) and find Var(T)\mathrm{Var}(T).
    [3 marks]
    (b)
    Find the probability that TT is within one standard deviation of its mean.
    [4 marks]

    Total for question 3: 7 marks

  4. 4
    The continuous random variable XX is the time, in hours, taken to complete a repair. It has probability density function f(x)=x6\mathrm{f}(x)=\dfrac x6 for 0≤x≤20\leq x\leq2, f(x)=6−x12\mathrm{f}(x)=\dfrac{6-x}{12} for 2<x≤62<x\leq6, and f(x)=0\mathrm{f}(x)=0 otherwise.
    (a)
    Find the cumulative distribution function F(x)\mathrm{F}(x) for all values of xx.
    [6 marks]
    (b)
    Find the median and the mean of XX, and use them, together with the mode, to describe the skewness of the distribution.
    [6 marks]

    Total for question 4: 12 marks

  5. 5
    A random number generator produces a value RR that is uniformly distributed over the interval [−4,6][-4,6].
    (a)
    What is E(R)\mathrm{E}(R)?
    [1 mark]
    • A00
    • B55
    • C11
    • D22
    (b)
    What is Var(R)\mathrm{Var}(R)?
    [1 mark]
    • A56\frac56
    • B253\frac{25}{3}
    • C1003\frac{100}{3}
    • D1012\frac{10}{\sqrt{12}}
    (c)
    Find P(R>2.5)\mathrm{P}(R>2.5).
    [2 marks]

    Total for question 5: 4 marks

  6. 6
    The continuous random variable XX is the time, in hours, before a battery next needs recharging. It has probability density function f(x)=316(4−x2)\mathrm{f}(x)=\frac{3}{16}(4-x^2) for 0≤x≤20\leq x\leq2, and f(x)=0\mathrm{f}(x)=0 otherwise.
    (a)
    What is P(X<1)\mathrm{P}(X<1)?
    [1 mark]
    • A516\frac{5}{16}
    • B316\frac{3}{16}
    • C12\frac12
    • D1116\frac{11}{16}
    (b)
    What is E(X)\mathrm{E}(X)?
    [1 mark]
    • A34\frac34
    • B11
    • C45\frac45
    • D32\frac32
    (c)
    Find Var(X)\mathrm{Var}(X).
    [2 marks]

    Total for question 6: 4 marks

  7. 7
    A technician spends XX hours on a call-out, where XX has probability density function f(x)=x+14\mathrm{f}(x)=\dfrac{x+1}{4} for 0≤x≤20\leq x\leq2, and f(x)=0\mathrm{f}(x)=0 otherwise. The profit, in hundreds of pounds, from a call-out is P=4X−X2P=4X-X^2.
    (a)
    Show that E(X)=76\mathrm{E}(X)=\frac76.
    [3 marks]
    (b)
    Find E(P)\mathrm{E}(P).
    [4 marks]

    Total for question 7: 7 marks

  8. 8
    A tram is due at a stop sometime after 09:00. The time TT, in minutes after 09:00, at which it arrives is uniformly distributed over the interval [0,10][0,10]. A passenger arrives at the stop at 09:04.
    (a)
    Use integration to derive E(T)\mathrm{E}(T) and Var(T)\mathrm{Var}(T).
    [6 marks]
    (b)
    The tram has not arrived when the passenger arrives. Find the probability that the passenger then waits for more than 33 minutes, and find the expected further wait.
    [6 marks]

    Total for question 8: 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).