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Below is a table with estimates of would population since 1AD

Below is a table with estimates of would population since 1AD-example-1

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Answer:

1)


P(t)=1633e^(0.0087t)

Step-by-step explanation:

Since we are taking t = 0 as 1900. The initial population is the population in 1900:


P_0=1633

We can start writting the exponential model:


P(t)=1633e^(kt)

:

We know that the population in 1950 (t = 50 in this model) is 2525. Then, we can find k by:


P(50)=2525=1633e^(k\cdot50)

And solve for k:


(2525)/(1633)=e^(50k)

Now, we can apply natural logarithm on both sides:


\ln((2525)/(1633))=\ln(e^(50k))

Since natural log and the exponential functions are inverse functions:


\ln((2525)/(1633))=50k
k=(\ln((2525)/(1633)))/(50)
k\approx0.0087

Thus, the exponential model is:


P(t)=1633e^(0.0087t) Question 2

Now, we need to use the model we just create to find the predicted population by the model:

At year 1900, t = 0 (that's how the problem asked us to define t)

Then


P\left(0\right)=1633e^(0.0087\cdot0)=1633e^0=1633

At year 1920, t = 20


P(20)=1633e^(0.0087\cdot20)=1633e^(0.174)=1943

At year 1940, t = 40:


P(40)=1633e^(0.0087\cdot40)=1633e^(0.348)=2313

At year 1960, t = 60


P(60)=1633e^(0.0087\cdot60)=1633e^(0.522)=2752

At year 1980, t = 80


P(80)=1633e^(0.0087\cdot80)=1633e^(0.696)=3275

At year 2000, t = 100


P(100)=1633e^(0.0087\cdot100)=1633e^(0.87)=3898

At year 2020, t = 120


P(120)=1633e^(0.0087\cdot120)=1633e^(1.044)=4639

At year 2040, t = 140


P(140)=1633e^(0.0087\cdot140)=1633e^(1.218)=5520

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