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    An estate manager is responsible for stocking a small lake with fish. He begins by introducing 1000 fish into the lake and monitors their population growth to determine the likely carrying capacity of the lake.After one year an accurate assessment of the number of fish in the lake is taken and it is found to be 1200.Let N be the number of fish t years after the fish have been introduced to the lake.Initially it is assumed that the rate of increase of N will be constant.When t=8 the estate manager again decides to estimate the number of fish in the lake. To do this he first catches 300 fish and marks them, so they can be recognized if caught again. These fish are then released back into the lake. A few days later he catches another 300 fish, releasing each fish after it has been checked, and finds 45 of them are marked.Let X be the number of marked fish caught in the second sample, where X is considered to be distributed as Bn, p. Assume the number of fish in the lake is 2000.The estate manager decides that he needs bounds for the total number of fish in the lake.The estate manager feels confident that the proportion of marked fish in the lake will be within 1.5 standard deviations of the proportion of marked fish in the sample and decides these will form the upper and lower bounds of his estimate.The estate manager now believes the population of fish will follow the logistic model Nt=L1+Ce-kt where L is the carrying capacity and C, k>0.The estate manager would like to know if the population of fish in the lake will eventually reach 5000.

    Question
    HLPaper 3

    An estate manager is responsible for stocking a small lake with fish. He begins by introducing 1000 fish into the lake and monitors their population growth to determine the likely carrying capacity of the lake.

    After one year an accurate assessment of the number of fish in the lake is taken and it is found to be 1200.

    Let N be the number of fish t years after the fish have been introduced to the lake.

    Initially it is assumed that the rate of increase of N will be constant.

    When t=8 the estate manager again decides to estimate the number of fish in the lake. To do this he first catches 300 fish and marks them, so they can be recognized if caught again. These fish are then released back into the lake. A few days later he catches another 300 fish, releasing each fish after it has been checked, and finds 45 of them are marked.

    Let X be the number of marked fish caught in the second sample, where X is considered to be distributed as Bn, p. Assume the number of fish in the lake is 2000.

    The estate manager decides that he needs bounds for the total number of fish in the lake.

    The estate manager feels confident that the proportion of marked fish in the lake will be within 1.5 standard deviations of the proportion of marked fish in the sample and decides these will form the upper and lower bounds of his estimate.

    The estate manager now believes the population of fish will follow the logistic model Nt=L1+Ce-kt where L is the carrying capacity and C, k>0.

    The estate manager would like to know if the population of fish in the lake will eventually reach 5000.

    1.

    Use this model to predict the number of fish in the lake when t=8.

    [2]
    Verified
    Solution

    * This sample question was produced by experienced DP mathematics senior examiners to aid teachers in preparing for external assessment in the new MAA course. There may be minor differences in formatting compared to formal exam papers.

    N8=1000+200×8 M1

    =2600 A1

    [2 marks]

    2.

    Assuming the proportion of marked fish in the second sample is equal to the proportion of marked fish in the lake, show that the estate manager will estimate there are now 2000 fish in the lake.

    [2]
    Verified
    Solution

    45300=300N M1A1

    N=2000 AG

    [2 marks]

    3.

    Write down the value of n and the value of p.

    [2]
    Verified
    Solution

    n=300,p=3002000=0.15 A1A1

    [2 marks]

    4.

    State an assumption that is being made for X to be considered as following a binomial distribution.

    [1]
    Verified
    Solution

    Any valid reason for example: R1

    Marked fish are randomly distributed, so p constant.

    Each fish caught is independent of previous fish caught

    [1 mark]

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    5.

    Show that an estimate for Var(X) is 38.25.

    [2]
    Verified
    Solution

    Var(X)=np1-p M1

    =300×3002000×17002000 A1

    =38.25 AG

    [2 marks]

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    6.

    Hence show that the variance of the proportion of marked fish in the sample,VarX300, is 0.000425.

    [2]
    Verified
    Solution

    VarX300=Var(X)3002 M1A1

    =0.000425 AG

    [2 marks]

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    7.

    Taking the value for the variance given in (d) (ii) as a good approximation for the true variance, find the upper and lower bounds for the proportion of marked fish in the lake.

    [2]
    Verified
    Solution

    0.15±1.50.000425 (M1)

    0.181and0.119 A1

    [2 marks]

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    8.

    Hence find upper and lower bounds for the number of fish in the lake when t=8.

    [2]
    Verified
    Solution

    300N=0.181…,300N=0.119… M1

    Lower bound 1658upper bound 2519 A1

    [2 marks]

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    9.

    Given this result, comment on the validity of the linear model used in part (a).

    [2]
    Verified
    Solution

    Linear model prediction falls outside this range so unlikely to be a good model R1A1

    [2 marks]

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    10.

    Assuming a carrying capacity of 5000 use the given values of N0 and N1 to calculate the parameters C and k.

    [5]
    Verified
    Solution

    1000=50001+C M1

    C=4 A1

    1200=50001+4e-k M1

    e-k=38004×1200 (M1)

    k=-ln0.7916…=0.2336… A1

    [5 marks]

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    11.

    Use these parameters to calculate the value of N8 predicted by this model.

    [2]
    Verified
    Solution

    N8=50001+4e-0.2336×8=3090 M1A1

    Note: Accept any answer that rounds to 3000.

    [2 marks]

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    12.

    Comment on the likelihood of the fish population reaching 5000.

    [2]
    Verified
    Solution

    This is much higher than the calculated upper bound for N(8) so the rate of growth of the fish is unlikely to be sufficient to reach a carrying capacity of 5000. M1R1

    [2 marks]

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