and are independent what is the distribution of Y=X1+X2
TOPIC:Binomial distribution.
and are independent what is the distribution of Y=X1+X2 X~ bin(n,p) We were unable to transcribe...
Let X1,...,X10 be a random sample from N(θ1,1) distribution and let Y1,...,Y10 be an independent random sample from N(θ2,1) distribution. Let φ(X,Y ) = 1 if X < Y , −5 if X ≥ Y , and V= φ(Xi,Yj) . 1. Find v so that P[V>=v]=0.45 when 1=2. 2. Find the mean and variance of V when 1=2. 10 10 2 We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe...
Derive the moment generating function of y= a x1+b x2, where y~ N( a 1 + b2 , a2 12 +b222 + 2ab cov(x1, x2) ), not both a and b equal to zero. We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
Let X1, X2,.......Xn be a random sample of size n from a continuous distribution symmetric about . For testing H0: = 10 vs H1: < 10, consider the statistic T- = Ri+ (1-i), where i =1 if Xi>10 , 0 otherwise; and Ri+ is the rank of (Xi - 10) among |X1 -10|, |X2-10|......|Xn -10|. 1. Find the null mean and variance of T- . 2. Find the exact null distribution of T- for n=5. We were unable to transcribe this imageWe were...
Let n be in . Show that is the empty set. We were unable to transcribe this image[=u p = (x u1U We were unable to transcribe this image
Let be independent random variables, where ~, Is sufficient for ? We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imagePoi(ix) 2 We were unable to transcribe this imageWe were unable to transcribe this image
Suppose X~ and Y~ What is the density for X+Y? Exp(λ) We were unable to transcribe this image
Let X1, X2, ..., Xn be a random sample of size n from the distribution with probability density function To answer this question, enter you answer as a formula. In addition to the usual guidelines, two more instructions for this problem only : write as single variable p and as m. and these can be used as inputs of functions as usual variables e.g log(p), m^2, exp(m) etc. Remember p represents the product of s only, but will not work...
Independent random samples X1, X2, . . . , Xn are from exponential distribution with pdfs , xi > 0, where λ is fixed but unknown. Let . Here we have a relative large sample size n = 100. (ii) Notice that the population mean here is µ = E(X1) = 1/λ , population variance σ^2 = Var(X1) = 1/λ^2 is unknown. Assume the sample standard deviation s = 10, sample average = 5, construct a 95% large-sample approximate confidence...
Suppose n independent, identically distributed observations are drawn from an exponential () distribution, with pdf given by f(x,)=, 0 < x < . The data are x1, x2, .. , xn Construct a likelihood ratio hypothesis test of Ho : vs H1: (where and are known constants, with ), where the critical value is taken to be a constant c We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were...
Random variables are independent of each other, where i=1,2,3 and that Calculate P(X1<X2<X3) X, ~ e.rp(λ.) We were unable to transcribe this image