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Statistics 2 (S2): Continuous distributionsEdexcel International A Level Further Maths: Topic test

20 questions, 54 marks

Edexcel International A Level Further Maths

Statistics 2 (S2): Continuous distributions topic test

Total 54 marks

Name

Class

Date

  1. 1
    The continuous random variable XX is uniformly distributed over the interval [−3,5][-3,5].
    (a)
    Find E(X)\mathrm{E}(X).
    [1 mark]
    • A22
    • B11
    • C44
    • D55
    (b)
    Find P(X<0)\mathrm{P}(X<0).
    [1 mark]
    • A58\frac58
    • B35\frac35
    • C18\frac18
    • D38\frac38
    (c)
    Find the standard deviation of XX, to 3 significant figures.
    [2 marks]

    Total for question 1: 4 marks

  2. 2
    The random variable XX has distribution B(60,0.5)\mathrm{B}(60,0.5), and the Normal distribution is to be used to approximate probabilities for XX.
    (a)
    Which Normal distribution should be used?
    [1 mark]
    • AN(30,15)\mathrm{N}(30,15)
    • BN(30,30)\mathrm{N}(30,30)
    • CN(30,15)\mathrm{N}(30,\sqrt{15})
    • DN(0.5,15)\mathrm{N}(0.5,15)
    (b)
    Let YY be the approximating Normal variable. With the continuity correction, P(X<20)\mathrm{P}(X<20) is approximated by
    [1 mark]
    • AP(Y<20)\mathrm{P}(Y<20)
    • BP(Y<20.5)\mathrm{P}(Y<20.5)
    • CP(Y<19.5)\mathrm{P}(Y<19.5)
    • DP(Y<18.5)\mathrm{P}(Y<18.5)
    (c)
    Use the Normal approximation to find P(27≤X≤33)\mathrm{P}(27\le X\le33).
    [2 marks]

    Total for question 2: 4 marks

  3. 3
    In a survey, each person approached agrees to take part with probability 0.350.35, independently of the others. Of 9090 people approached, XX agree to take part.
    (a)
    Explain why XX may be approximated by a Normal distribution and state the parameters of this Normal distribution.
    [3 marks]
    (b)
    Use the approximation to find the probability that at least 4040 people agree to take part.
    [4 marks]

    Total for question 3: 7 marks

  4. 4
    At a museum kiosk the waiting time, WW minutes, of a visitor is modelled by a continuous uniform distribution over the interval [0,8][0,8]. A visitor is described as delayed if W>5W>5. Visitors' waiting times are independent.
    (a)
    Write down the cumulative distribution function of WW, and find P(W>5)\mathrm{P}(W>5) and P(W>5∣W>2)\mathrm{P}(W>5\mid W>2).
    [6 marks]
    (b)
    The kiosk serves 200200 visitors in a day. Let DD be the number of delayed visitors. Use a Normal approximation to estimate the probability that fewer than 6565 visitors are delayed.
    [6 marks]

    Total for question 4: 12 marks

  5. 5
    The continuous random variable RR is uniformly distributed over the interval [10,22][10,22].
    (a)
    What is the value of the probability density function f(r)f(r) for 10≤r≤2210\le r\le22?
    [1 mark]
    • A122\frac{1}{22}
    • B110\frac{1}{10}
    • C132\frac{1}{32}
    • D112\frac{1}{12}
    (b)
    Find P(R<13.2)\mathrm{P}(R<13.2).
    [1 mark]
    • A35\frac35
    • B415\frac{4}{15}
    • C825\frac{8}{25}
    • D855\frac{8}{55}
    (c)
    Find the median of RR and the interquartile range of RR.
    [2 marks]

    Total for question 5: 4 marks

  6. 6
    The number of vehicles XX passing a checkpoint in a ten-minute period is modelled by a Poisson distribution with mean 4949. A Normal approximation is to be used.
    (a)
    What is the standard deviation of the approximating Normal distribution?
    [1 mark]
    • A4949
    • B24.524.5
    • C77
    • D2.652.65
    (b)
    Let YY be the approximating Normal variable. With the continuity correction, P(X≥45)\mathrm{P}(X\ge45) is approximated by
    [1 mark]
    • AP(Y>44.5)\mathrm{P}(Y>44.5)
    • BP(Y>45)\mathrm{P}(Y>45)
    • CP(Y>45.5)\mathrm{P}(Y>45.5)
    • DP(Y<44.5)\mathrm{P}(Y<44.5)
    (c)
    Use the Normal approximation to find P(42≤X≤56)\mathrm{P}(42\le X\le56).
    [2 marks]

    Total for question 6: 4 marks

  7. 7
    The continuous random variable YY is uniformly distributed over the interval [a,b][a,b], where b>ab>a. It is known that E(Y)=10\mathrm{E}(Y)=10 and Var(Y)=12\mathrm{Var}(Y)=12.
    (a)
    Find the values of aa and bb.
    [3 marks]
    (b)
    Find the cumulative distribution function F(y)\mathrm{F}(y) of YY, and hence find P(Y<7)\mathrm{P}(Y<7).
    [4 marks]

    Total for question 7: 7 marks

  8. 8
    Calls to a helpline arrive at random at a mean rate of 0.80.8 per minute. Let NN be the number of calls in a 6060-minute period. The duration, DD minutes, of a call is modelled by a continuous uniform distribution over the interval [2,10][2,10].
    (a)
    Use a Normal approximation to find P(N≥55)\mathrm{P}(N\ge55), and explain why a continuity correction is needed.
    [6 marks]
    (b)
    A call is described as long if it lasts more than 7.57.5 minutes. Find the probability that a call is long. Of the 4848 calls received in one hour, LL are long. Find E(L)\mathrm{E}(L) and Var(L)\mathrm{Var}(L), assuming L∼B(48,p)L\sim\mathrm{B}(48,p) with pp equal to this probability.
    [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).