Given: p(x)=k-x+xe^(-x^2) for x in [0,4]
Required: Mean and Standard Deviation
Solution Strategy:
1) Normalize p(x), i.e. determine the k: P(x)=int_0^4 p(x) dx =1
2) Calculate the mean, mu = int_0^4 xp(x) dx
3) Calculate the standard deviation, sigma=int_0^4 (x-mu)^2p(x)dx
1) P(x)=int_0^4 [k-x+xe^(-x^2)]dx =1 Apply linearity and write
1 = int_0^4 kdx -int_0^4xdx+int_0^4xe^(-x^2)dx
1 = kx -x^2/2+int_0^4xe^(-x^2)dx Let's deal with the 3rd integral
I= int_0^4xe^(-x^2)dx, " let " u = -x^2
I= -1/2int e^udu = -1/2 e^u Undo substitution
I= -1/2 [e^(-x^2)]_0^4 = 1/2-1/(2e^16)=(e^16-1)/(2e^16) -> 1/2
1 = 4K-8+1/2 => K=17/8
Check: 17/2-16/2+1/2=1
Thus p(x)=17/8-x+xe^(-x^2)
2) Mean: mu= int_0^4 x[17/8-x+xe^(-x^2)]dx
mu=int_0^4 17/8xdx-int_0^4x^2dx+color(red)[int_0^4x^2e^(-x^2)dx]
= {17/16x^2-x^3/3 +color(red) [sqrt(pi)("erf"(x))/4-x/(2e^(x^2)]}}_0^4
~~ 17/16*16-64/3+color(red).443~~ -3.89
3) sigma^2= int_0^4 (x-3.89)^2 [17/2-x+xe^(-x^2)]dx
~~27.23134392285682
sigma = sqrt(27.23134392285682)~~ 5.2