The random variables X and Y are independent and Gaussian wi
Solution
X~N(1,0.52) Y~N(-3,0.52) independently
a) P[X>2,Y>-2]=P[X>2]*P[Y>-2] as they are independent
=P[(X-1)/0.5>(2-1)/0.5]*P[(Y+3)/0.5>(-2+3)/0.5]
=P[Z>2]*P[Z>2] where Z~N(0,1)
={1-P[Z<2]}2={1-Q(2)}2 [answer]
b)P[X>2,Y<-4]=P[X>2]*P[Y<-4] as they are independent
=P[Z>2]*P[Z<(-4+3)/0.5]=P[Z>2]*P[Z<-2] [P[X>2]=P[Z>2 is from part a)]
={1-P[Z<2]}{1-P[Z<2]} [as normal distribution is symmetric]
={1-Q(2)}2 [answer]
c)P[0<X<2,Y<-4]=P[0<X<2]*P[Y<-4] as they are independent
=P[(0-1)/0.5<(X-1)/0.5<(2-1)/0.5]*P[Z<-2] [P[Y<-4]=P[Z<-2] from part b)]
=P[-2<Z<2]*P[Z<-2]
={P[Z<2]-P[Z<-2]}*P[Z<-2]={P[Z<2]-(1-P[Z<2])}*{1-P[Z<2]} [as normal distribution is symmetric]
=[2Q(2)-1]*[1-Q(2)] [answer]
d) P[0<X<2,-2<Y<-4]=P[0<X<2]*P[-2<Y<-4] as they are independent
=[2Q(2)-1]*P[(-2+3)/0.5<Z<(-4+3)/0.5] [from part c]
=[2Q(2)-1]*P[2<Z<-2]=[2Q(2)-1]*[2Q(2)-1] [from part c]
=[2Q(2)-1]2 [answer]
