a.
is a joint density function if its integral over the given support is 1:


so the answer is yes.
b. We should first find the density of the marginal distribution,
:


Then

or about 0.2019.
For the other probability, we can use the joint PDF directly:

which is about 0.7326.
c. We already know the PDF for
, so we just integrate:
![E[Y]=\displaystyle\int_{-\infty}^\infty y\,f_Y(y)\,\mathrm dy=\frac15\int_0^\infty ye^{-y/5}\,\mathrm dy=\boxed5](https://tex.z-dn.net/?f=E%5BY%5D%3D%5Cdisplaystyle%5Cint_%7B-%5Cinfty%7D%5E%5Cinfty%20y%5C%2Cf_Y%28y%29%5C%2C%5Cmathrm%20dy%3D%5Cfrac15%5Cint_0%5E%5Cinfty%20ye%5E%7B-y%2F5%7D%5C%2C%5Cmathrm%20dy%3D%5Cboxed5)
Answer:
6 m
Step-by-step explanation:

Answer:
17.2a+14.6
Step-by-step explanation:
Answer:
x=8
Step-by-step explanation:
Set 40 + y = 90
y=50
y = 6x + 2
6x + 2 = 50
6x = 48
48/6 = x
x=8
Answer:
The linear equation is the equation of straight line. where m is the slope of the line and c is the y-intercept. Thus, the y-intercept is expressed as (0, c). That is where the graph intercepts the y-axis (thus, the x value would be 0).
Step-by-step explanation: