下列叙述错误的是A. Phi(-x) = 1 - Phi(x)B. 若 X sim N(mu, sigma^2)，则 Y = (X - mu)/(sigma) sim N(0, 1)C. 若 X sim N(mu, sigma^2)，则其分布函数 F(x) = Phi((x - mu)/(sigma))D. 若 X sim N(mu, sigma^2)，则其概率密度 phi(x) = (1)/(sqrt(2pi)) e^-(x^2)/(2)，-infty

A. $\Phi(-x) = 1 - \Phi(x)$

B. 若 $X \sim N(\mu, \sigma^2)$，则 $Y = \frac{X - \mu}{\sigma} \sim N(0, 1)$

C. 若 $X \sim N(\mu, \sigma^2)$，则其分布函数 $F(x) = \Phi\left(\frac{x - \mu}{\sigma}\right)$

D. 若 $X \sim N(\mu, \sigma^2)$，则其概率密度 $\phi(x) = \frac{1}{\sqrt{2\pi}} e^{-\frac{x^2}{2}}$，$-\infty < x < +\infty$