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Further Statistics 2: Exponential distributionAQA A-Level Further Maths: Topic test

20 questions, 54 marks

AQA A-Level Further Maths

Further Statistics 2: Exponential distribution topic test

Total 54 marks

Name

Class

Date

  1. 1
    The time, XX hours, between consecutive tremors recorded at a seismic station is modelled by an exponential distribution with parameter λ=0.2\lambda=0.2.
    (a)
    Find P(X>5)P(X>5).
    [1 mark]
    • A0.36790.3679
    • B0.63210.6321
    • C0.81870.8187
    • D0.00670.0067
    (b)
    Find E(X)E(X).
    [1 mark]
    • A0.20.2
    • B2525
    • C55
    • D3.473.47
    (c)
    Find P(2<X<6)P(2<X<6).
    [2 marks]

    Total for question 1: 4 marks

  2. 2
    Emails arrive in an inbox at random, independently of each other, at a constant average rate of 44 per hour. Let TT hours be the time between two consecutive emails.
    (a)
    Which is the distribution of TT?
    [1 mark]
    • AAn exponential distribution with parameter 1515
    • BAn exponential distribution with parameter 44
    • CA Poisson distribution with mean 44
    • DAn exponential distribution with parameter 0.250.25
    (b)
    Find the mean time between consecutive emails, in minutes.
    [1 mark]
    • A44
    • B0.250.25
    • C240240
    • D1515
    (c)
    Find the probability that the time between two consecutive emails is more than half an hour.
    [2 marks]

    Total for question 2: 4 marks

  3. 3
    The time, XX hours, that a patient waits in an emergency department is modelled by an exponential distribution with parameter λ\lambda. The probability that a patient waits more than 33 hours is 0.30.3.
    (a)
    Find the value of λ\lambda.
    [3 marks]
    (b)
    Find the median waiting time and the probability that a patient waits between 11 and 22 hours.
    [4 marks]

    Total for question 3: 7 marks

  4. 4
    Customers arrive at a bike-hire dock at random, independently of each other, at a constant average rate of 55 per hour, so the arrivals form a Poisson process. Let TT hours be the time between consecutive arrivals.
    (a)
    Show that the cumulative distribution function of TT is F(t)=1−e−5tF(t)=1-e^{-5t} for t≥0t\ge0. Hence find the probability density function of TT and E(T)E(T).
    [6 marks]
    (b)
    Find the standard deviation of TT in minutes. Find the probability that the time between two consecutive arrivals is less than 66 minutes, and the probability that it is longer than the mean time.
    [6 marks]

    Total for question 4: 12 marks

  5. 5
    The distance, XX km, between consecutive potholes along a rural road is modelled by an exponential distribution with mean 2.52.5 km.
    (a)
    Find the standard deviation of XX.
    [1 mark]
    • A6.256.25 km
    • B1.581.58 km
    • C0.40.4 km
    • D2.52.5 km
    (b)
    Find P(X<1)P(X<1).
    [1 mark]
    • A0.67030.6703
    • B0.32970.3297
    • C0.63210.6321
    • D0.40.4
    (c)
    Find the distance dd such that P(X>d)=0.05P(X>d)=0.05.
    [2 marks]

    Total for question 5: 4 marks

  6. 6
    Lightning strikes at a mountain observatory occur at random, independently of each other, at a constant average rate of 1.51.5 per hour. Let MM minutes be the time between two consecutive strikes.
    (a)
    Find the mean time between consecutive strikes.
    [1 mark]
    • A9090 minutes
    • B1.51.5 hours
    • C4040 minutes
    • D0.670.67 minutes
    (b)
    Which condition must hold for an exponential distribution to be a suitable model for the time between strikes?
    [1 mark]
    • AStrikes occur singly, independently of each other and at a constant average rate.
    • BStrikes occur at regular intervals of equal length.
    • CThe rate of strikes increases during a storm.
    • DThe number of strikes in each hour is always 1.51.5.
    (c)
    Find the probability that the time between two consecutive strikes is more than one hour.
    [2 marks]

    Total for question 6: 4 marks

  7. 7
    The lifetime, XX years, of a type of server fan is modelled by an exponential distribution with mean 55 years. A data centre uses 1010 of these fans, whose lifetimes are independent of each other.
    (a)
    Find the standard deviation of XX and the probability that a fan lasts more than 88 years.
    [3 marks]
    (b)
    Find the probability that exactly 22 of the 1010 fans last more than 88 years. State an assumption that your calculation needs.
    [4 marks]

    Total for question 7: 7 marks

  8. 8
    Two models are described. Model 1: The lifetime, TT years, of a type of sensor is modelled by an exponential distribution with median 33 years. Model 2: Accidents at a road junction occur at random, independently of each other, at a constant average rate of 2.52.5 per month. Let YY months be the time between consecutive accidents.
    (a)
    For Model 1, find the parameter λ\lambda, the mean and standard deviation of TT, and P(T>6)P(T>6).
    [6 marks]
    (b)
    For Model 2, state the distribution of YY and find P(Y>0.5)P(Y>0.5). Starting from an accident, find the probability that there is no accident in the next 22 months in two ways: using a Poisson distribution and using the distribution of YY.
    [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).