成教云: $x_(1),x_(2),…,x_(n)$为来自总体$X~N(mu,sigma^2)$样本，$barx=(1)/(n)sum_(i=1)^(n)(x_(i)-barx)^2$,若记$s_(1)^2=(1)/(n)sum_(i=1)^(n)(x_(i)-barx)^2$,$s_(2)^2=(1)/(n-1)sum_(i=1)^(n)(x_(i)-barx)^2$,$s_(3)^2=(1)/(n)sum_(i=1)^(n)(x_(i)-mu)^2$,$s^2=(1)/(n-1)sum_(i=1)^(n-1)(x_(i)-mu)^2$,则服从t(n-1)的随机变量是
成教云: $x_(1),x_(2),…,x_(n)$为来自总体$X~N(mu,sigma^2)$样本，$barx=(1)/(n)sum_(i=1)^(n)(x_(i)-barx)^2$,若记$s_(1)^2=(1)/(n)sum_(i=1)^(n)(x_(i)-barx)^2$,$s_(2)^2=(1)/(n-1)sum_(i=1)^(n)(x_(i)-barx)^2$,$s_(3)^2=(1)/(n)sum_(i=1)^(n)(x_(i)-mu)^2$,$s^2=(1)/(n-1)sum_(i=1)^(n-1)(x_(i)-mu)^2$,则服从t(n-1)的随机变量是
发布时间：2026-02-05 08:22:49
