Matlab Help. just a starter Create N random variables (X_1,..., X_n) each with L
ID: 3158409 • Letter: M
Question
Matlab Help. just a starter
Create N random variables (X_1,..., X_n) each with L samples. These should be independent and identically distributed. Generate S_n, which will be the sum of these random variables. Find the mean and variance of X_1. i.e. mu and sigma^2. Since the RV's are iid's, mu will be the mean of all the other RV's in this set too. You can verify this by finding the mean of a few other variables. Create the random variable Z_n by adding N random variables as: Z_n = S_n - n mu / sigma Squareroot n Plot the pdf of Z_nExplanation / Answer
Let us have L samples within each of X1, X2, X3, XN as given below:
X1: x11, x12, x13, .............x1L
X2: x21, x22, x23, .............x2L
X3: x31, x32, x33, .............x3L
.........................................................
XN: xN1, xN2, xN3, .............xNL
These are independent and identically distributed random variables with Mean x1', x2', x3'...........xn'
For independent and identically distributed randomvariable E(xi') = µ for Xi's and Var(xi') =
Now if Sn = (X1 + X2 +X3 +............ Xn ) / n
Mean = E ( Sn ) = E ( (X1 + X2 +X3 +............ Xn ) / n ) = (E(X!) + E(X2) + .......E(X3)) / n
= (µ +µ+µ+...........+µ) / n = nµ / n = µ
Var ( (X1 + X2 +X3 +............ Xn ) / n ) = 1/n2[Var (X1) + Var ( X2) + Var (X3) +.......Var (Xn)]
Since X1, X2, X3, ........, Xn are independent and identically distributed randomvariable
SO, Var ( (X1 + X2 +X3 +............ Xn ) / n ) = 1/n2 [ +++.......+] = 1/n2 *n* = /n
If X is a normal variate with mean µ and SD , the Z = (x-µ)/ follow normal distribution with mean 0 and standard deviation 1.