the initial number of kangaroo is 40, the population of kangaroo decays with a decay rate of p per week

a)write a program to compute the number of kangaroo remaining after 1 week , 2 week and so on up tp 52 weeks, based on p = 0.02,

should treat this as a simulation and not as a theoretical calculation.

present the data as a bar plot

b)modify the code from a) to plot the number of remaining kangaroo as circles, superimpose on this data the analytic result

N(t) = N *e^(-p*t)

N(t)---number of remaining at time t

N------initial number

p------decay constant

c)modify the program from a) to compute the time required for half kangaroo to be dead

d)enclose ur program from c)in a loop to run many realisations, this will enable u to obtain a statistically useful value of t.

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here is my code

a)

p = 0.02;

I = 40;

t = 0:52;

R = round(I*(1-0.02).^t);

bar(t,R)

wtf is simulation but not theoretical calculation???how am i supposed to simulate it?

b)

N0 = 40;

p = 0.02;

t = 0:52;

N = round(N0*exp(-p*t));

plot(t,N,'o')

hold on

bar(t,R)

what should i pick for p(decay constant)? can i use the same p from a) or make 1 up? otherwise how can i solve it?

c)

p = 0.02;

I = 40;

t = 0;

R = 40;

while R >= 20

t=t+1;

R = round(I*(1-0.02).^t);

disp([t R])

end

dont have much problems with this part

d)

have no ideas at all!!!no matter how many time i tried, it gave me the same solution.or am i missing something?

what is the "loop" in the question supposed to be? for loop? while loop?

thank you