01

Constants in PDF from expectation

Suppose X has PDF given by:

fX(x)={a+bx20x10otherwise

Suppose E[X]=710. Find the only possible values for a and b. Then find Var[X].

02

Variance: Direct integral formula

Suppose X has PDF given by: fX(x)={3e3xx00otherwise

Find Var[X] directly using the integral formula.

03

PDF of derived variable for E[X] and Var[X]

Suppose the PDF of an RV is given by:

fX(x)={34x(2x)0x20otherwise

(a) Find E[X] using the integral formula.

(b) Find fX2(x), the PDF of X2 (by calculating the CDF first).

(c) Find E[X2] using fX2(x).

(d) Find Var[X] using results of (a) and (c).

04

Random point in [0,1]2, PDF of X and X2

A random point is chosen in the unit square [0,1]×[0,1].

Outcomes are points (x,y) in this square. Events are regions in the square. The probability of a region A is the area of A.

Define the random variable X by X(x,y)=x. This is just the x-coordinate of the random point. Then the random variable X2 is given by X2(x,y)=x2. This is just the squared x-coordinate of the random point.

(a) Describe the PDF of X.

(b) Describe the PDF of X2.

05

CDF of derived variable

Suppose X is a continuous Unif[1,4] random variable. Let Y=|X2|. Find the CDF of Y.

06

Octane revenue

The owner of a small gas station has his 1,500 gallon tank of 93-octane gas filled up once at the beginning of each week. The random variable X is the amount of 93-octane the station sells in one week (in thousands of gallons). The PDF of X is shown below.

fX(x)={x0x111<x1.5

Assuming the station consistently charges $3.00 per gallon for 93-octane and pays $2,000 for the weekly fill-up, find the CDF of W=3X2, the profit the station makes from the 93-octane in a week.

07

Square root

Suppose that XExp(1).

Let Y=X. Find the PDF of Y.

08

Derived random variable

Let U=Unif[0,1] and suppose that X=ln(1U).

(a) Compute FX(x).

(b) Compute fX(x).

(c) Compute E[X].