Теория вероятностей. Барышева В.К - 133 стр.

UptoLike

X Y
M[x] =
+
Z
−∞
x · f
1
(x) dx =
1
Z
0
x · 6x
2
(1 x
3
)dx =
9
14
M[y] =
+
Z
−∞
y ·f
2
(y) dy =
1
Z
0
y ·6y
5
dy =
6
7
M[XY ] =
+
Z
−∞
+
Z
−∞
xy ·f (x, y) dxdy = 18
1
Z
0
x
3
dx
1
Z
x
y
3
dy =
=
9
2
1
Z
0
x
3
(1 x
4
)dx =
9
16
.
cov (X, Y ) = M[XY ] m
x
m
y
=
9
16
9
14
·
6
7
=
9
784
= 0, 01148.
M
X
2
=
+
Z
−∞
x
2
· f
1
(x) dx = 6
1
Z
0
x
2
· x
2
(1 x
3
)dx =
9
20
M
Y
2
=
+
Z
−∞
y
2
· f
2
(y) dy = 6
1
Z
0
y
7
dy =
3
4
D[X] = M
X
2
m
2
x
=
9
20
9
14
2
=
9
245
= 0, 0367
σ
x
=
p
D[X] = 0, 1917
D[Y ] = M
Y
2
m
2
y
=
3
4
6
7
2
=
3
196
= 0, 0153