Let p(t) be the population of a colony of bacteria. At 11AM there are 60 bacteria and at 3PM there are 350. Assume exponential growth.
a) Find P(t) and simplify.
b) What is the size of the population at 4PM
c) When will the population reach 2000?
a) Find P(t) and simplify.
b) What is the size of the population at 4PM
c) When will the population reach 2000?
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formula
p(t) = P*e^(k*t)
where e is approximately 2.718282 and k is the rate constant
P is the initial population
let at t = 0 at 11 AM
p(0) = 60 = P*e^(k*0)
hence
P = 60
at t = 4 for 3 PM
p(4) = 350 = 60*e^(k*4)
taking the ratio
350 = 60*e^(k*4)
taking the natural log of both sides
ln(350 / 60) = ln[e^(4k)]
ln(350 / 60) = (4k)
k = ln(35 / 6) / 4 or 0.440897148
hence
(a)
p(t) = 60*e^(0.440897148*t)
(b)
p(5) = 60*e^(0.440897148*5) = 544
(c)
2000 = 60*e^(0.440897148*t)
33.33 = e^(0.440897148*t)
ln(33.33) = 0.440897148t
t = ln(33.33) / 0.440897148 = 8 or by 7PM
p(t) = P*e^(k*t)
where e is approximately 2.718282 and k is the rate constant
P is the initial population
let at t = 0 at 11 AM
p(0) = 60 = P*e^(k*0)
hence
P = 60
at t = 4 for 3 PM
p(4) = 350 = 60*e^(k*4)
taking the ratio
350 = 60*e^(k*4)
taking the natural log of both sides
ln(350 / 60) = ln[e^(4k)]
ln(350 / 60) = (4k)
k = ln(35 / 6) / 4 or 0.440897148
hence
(a)
p(t) = 60*e^(0.440897148*t)
(b)
p(5) = 60*e^(0.440897148*5) = 544
(c)
2000 = 60*e^(0.440897148*t)
33.33 = e^(0.440897148*t)
ln(33.33) = 0.440897148t
t = ln(33.33) / 0.440897148 = 8 or by 7PM
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I answered a question very similar to this that you already posted, with steps clearly explained. Try following the steps I used to solve this problem. They're literally exactly alike, and you'll be able to practice better than other people telling you.
Hope this helps.
Hope this helps.