01
(1) Compute
(2) Compute
(3) Compute
02

For
So:
03
(a)
(b)
(c)
04
(a)
Conditional distribution:
Compute
Therefore:
(b)
Therefore:
05
(a)
Obtain joint from conditional and marginal:
Therefore:
(b)
Conditioning the other way:
Marginal distribution of
Therefore:
06
Find possible combinations of
- For a given value of
, there are possible options for . - Thus, in total, there are
possible combinations. - Since
, we have that .
(a)
We have that
Thus,
(b)
(1) State formula
(2) State final answer
(c)
Compute expectation:
(d)
Find formula for expectation.
07
Integrate joint PDF and solve for
(a)
Integrate joint PDF with respect to
(b)
Use formula for conditional distribution.
(c)
(1) Plug in
(2) Integrate to find expectation.
(d)
Integrate formula in part (b) with respect to
08
(1) State formula for expectation given
(2) Note that
- Treat
as inside integral.
(3) Prove the second formula.
(4) State final answer.
09
Let
10
(1) Find
Note that this follows a binomial distribution with parameters
Thus,
(2) Find
(3) Find
(4) Find covariance
(5) State final conclusions.
Since the covariance is positive,