Q239 · Practice questionTechnology-activeComplex unfamiliar8 marks
QUESTION 239 (8 marks)
A coral nursery uses with and constant , where time is in days. A target is . An independent calibration sample of 100 estimates of k has mean 0.24 and sample standard deviation 0.08. Use for an approximate mean confidence interval. Treat the calibration estimates as independent observations from a population whose mean is the true k; assume normal-interval conditions are satisfied. The diagram shows the boundary profile that reaches the target exactly at day 10.
a)[3 marks]
Solve the logistic equation and find the least k meeting the target.
b)[2 marks]
Find the approximate 95 percent interval for mean k. Does every k in this interval meet the model target?
c)[3 marks]
Assuming the same future observed mean and standard deviation, find the least n for which the lower interval endpoint is at least the threshold from (a).
WORKED SOLUTION
8 marksPractice marking scheme
ANSWER
(a) ; . (b) day; yes under the model. (c) .
Worked solution
(a) Separate variables: . Since , integration gives . At N(0)=50, . Exponentiating and rearranging yields . At t=10, the target requires , hence or . N(10) increases with k, so the boundary is the least qualifying value.
(b) The margin is , so the interval is (0.22432,0.25568). Even its lower endpoint exceeds , so every k in it meets the specified model target. This is an interval-based assessment under the assumptions, not certainty about the fixed true k.
(c) Require . The positive gap is , so . The least integer is 60; using the unrounded threshold confirms that 59 fails and 60 passes. The design is conditional on the assumed future summaries.
Equivalent mathematically justified methods accepted.
Exact answers unless a decimal accuracy is specified.
Part a: Solve the separable equation.
Part a: Apply the initial value.
Part a: Solve the target inequality with the correct direction.
Part b: Calculate both interval endpoints.
Part b: Compare the lower endpoint with the model threshold.
Part c: Form the lower-endpoint inequality.
Part c: Solve using the unrounded threshold.
Part c: Round up and justify minimality.
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