Due date: Thursday 3/12, 11:59pm
Functions on two random variables
01
03
Link to originalPDF of Min
Let and be independent copies of a random variable.
Let . Find the PDF of .
Solution
02
02
Link to originalPDF of Min and Max
Suppose and and these variables are independent. Find:
(a) The PDF of
(b) The PDF of
Solution
03
05
Link to originalPDF of sum of uniforms
Let and be independent copies of a random variable. Let .
Find the PDF of .
Solution
04
01
Link to originalPDF of sum from joint PDF
Suppose the joint PDF of and is given by:
Find the PDF of .
Solution
Review
Derived RV
05
01
Link to originalFunction on one variable
Suppose the PDF of is given by:
Find the CDF and PDF of .
Solution
Joint distributions
06
01
Link to originalFinish a PMF table - Strange families
Suppose that 15 percent of the families in a strange community have no children, 20 percent have 1 child, 35 percent have 2 children, and 30 percent have 3 children. Assume the odds of a child being a boy or a girl are equal.
If a family is chosen at random from this community, then , the number of boys, and , the number of girls, in this family will have the joint PMF partially shown in this table:
0 1 2 3 0 0.15 0.10 ? 0.0375 0.3750 1 0.10 0.175 ? 0.00 0.3875 2 ? ? 0.00 0.00 0.2000 3 0.0375 0.00 0.00 0.00 0.0375 0.3750 0.3875 0.2000 0.0375 [not used] (a) Complete the table by finding the missing entries.
(b) What is the probability that “ or is 1”?
Solution
07
10
Link to originalSoft-drink machine
A soft-drink machine has a random amount in supply at the beginning of a given day and dispenses a random amount during the day (with measurements in gallons). It is not resupplied during the day, and therefore . It has been observed that and have a joint density given by:
(a) Find the probability that the amount of soft-drink dispensed on a given day is greater than 1.5 gallons. (First compute the marginal PDF of .)
(b) Find the probability that the amount of soda remaining in the machine at the end of the day is greater than gallon. That is, find .
(c) Find the CDF of , the amount of soda remaining in the machine at the end of the day.
Solution
Independent random variables
08
01
Link to originalRandom point in a triangle
Consider a joint distribution that is uniform over the triangle with vertices , and . Suppose a point is chosen at random according to this distribution.
(a) Find the joint PDF .
(b) Find the marginal PDFs for and .
(c) Are and independent?
Solution