01

(1) Compute :


(2) Compute :


(3) Compute :

02

center

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 and .

  • 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 to obtain


(b)

Use formula for conditional distribution.


(c)

(1) Plug in into the formula found in part (b)


(2) Integrate to find expectation.


(d)

Integrate formula in part (b) with respect to .

08

(1) State formula for expectation given .


(2) Note that is fixed inside the conditional expectation.

  • Treat as inside integral.

(3) Prove the second formula.


(4) State final answer.

09

Let and .

10

(1) Find .

Note that this follows a binomial distribution with parameters .

Thus,


(2) Find using iterated expectation.


(3) Find


(4) Find covariance


(5) State final conclusions. Since the covariance is positive, and are positively correlated.