
例3.8 设二维随机变量 (X,Y)sim N((mu )_(1),(mu )_(2);({sigma )_(1)}^2,({sigma )_(2)}^2;rh
例3.8 设二维随机变量 (X,Y)sim N((M)_(1)(M)_(2);({sigma )_(1)}^2,({sigma )_(2)}^2;rho ) ,
设随机变量_(1)sim N((M)_(1),({sigma )_(1)}^2),_(1)sim N((M)_(1),({sigma )_(1)}^2),_(1
设随机变量 X sim N(mu, sigma^2) (sigma > 0),记 p = P(X leq mu + sigma^2),则()A. $p$ 随着
设二维随机变量 (X,Y)~N(mu_1,mu_2,sigma_1^2,sigma_1^2,rho),则 X 服从的分布是A. $N(\sigma_1^2,\s
12.设随机变量X服从正态分布N(mu_(1),sigma_(1)^2)(sigma_(1)>0),Y服从正态分布N(mu_(2),sigma_(2)^2)(s
设随机变量 X,Y 相互独立,且 X sim N(mu_1, sigma^2), Y sim N(mu_2, sigma^2), 则 X-Y 为( ) 设随机变
4.设随机变量 sim N(mu ,({sigma )_(1)}^2) , sim N(mu ,({sigma )_(2)}^2), 且对任意 ε>0, 有
随机变量 X sim N(2, sigma^2),P(0A. 0.35B. 0.2C. 0.8D. 0.65
设(X,Y)sim N(mu_1,mu_2;sigma_1^2,sigma_2^2;rho)(sigma_1>0,sigma_2>0),则((X-mu_1)/(