According to the exponential growth model, the population at any time instant is given by,

a)
Given that the initial population is 50,

Then the function becomes,

Given that after 7 years, there are 85 fish,

Taking logarithms on both sides,

Substitute the value in the expression,
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Thus, the required expression is,

If 'y' denotes the number of fish after time 't' years, then the expression becomes,

b)
The population of fish after 12 years is calculated as,
