E(X)=0×(0.20+0.05+0.10)+1×(0.05+0.10+0.25)+2×(0+0.15+0.10)=0.9
E(Y)=-2(0.20+0.05+0)+0(0.05+0.1+0.15)+1(0.1+0.25+0.10)=-0.05
XY=0:0×(-2),0×0,0×1;1×0,2×0,概率=0.2+0.05+0.1+0.1+0.15=0.6
-2:1×(-2),概率=0.05,
-4:2×(-2),概率=0;
1:1×1,概率=0.15;
2:2×1,概率=0.1
E(XY)=-4×0-2×0.05+0×0.6+1×0.15+2×0.1=0.25
X²+Y²:0:0²+0²,概率=0.05;
1:0²+1²,1²+0²,概率-0.1+0.1=0.2
2:1²+1²,概率:0.25
4:0+(-2)²,2²+0²,概率=0.20+0.15=0.35
5:1+(-2)²,2²+1²,概率=0.05+0.10=0.15
8:2²+(-2)²,概率=0
E(X²+Y²)=0×0.05+1×0.2+2×0.25+4×0.35+5×0.15+8×0=2.85
概念辨析:
能按一定次序一一列出,其值域为一个或若干个有限或无限区间,这样的随机变量称为离散型随机变量。离散型随机变量与连续型随机变量也是由随机变量取值范围(或说成取值的形式)确定,变量取值只能取离散型的自然数,就是离散型随机变量。
以上内容参考:百度百科-离散型随机变量
=0.9
E(Y)=-2(0.20+0.05+0)+0(0.05+0.1+0.15)+1(0.1+0.25+0.10)=-0.05
XY=
0:0×(-2),0×0,0×1;1×0,2×0,概率=0.2+0.05+0.1+0.1+0.15=0.6
-2:1×(-2),概率=0.05,
-4:2×(-2),概率=0;
1:1×1,概率=0.15;
2:2×1,概率=0.1
E(XY)=-4×0-2×0.05+0×0.6+1×0.15+2×0.1=0.25
X²+Y²:
0:0²+0²,概率=0.05;
1:0²+1²,1²+0²,概率-0.1+0.1=0.2
2:1²+1²,概率:0.25
4:0+(-2)²,2²+0²,概率=0.20+0.15=0.35
5:1+(-2)²,2²+1²,概率=0.05+0.10=0.15
8:2²+(-2)²,概率=0
E(X²+Y²)=0×0.05+1×0.2+2×0.25+4×0.35+5×0.15+8×0=2.85