Undergraduate

Sums of Independent Random Variables Lincar combinations: a 1 x 1 a 2 x 2 cdots a k x k = i = 1 k

Sums of Independent Random Variables
Lincar combinations:
a1x1a2x2 cdots akxk=i=1kaixi
Linear Combinations of Independent Normal Random Variables
Proposition:
Let x1,x2,dots,xk be independent and xiN(i,i2),i=1,2,dots,k. Then
a1x1a2x2 cdots akxk=i=1kaixi,-N(i=1kaii,i=1kai2i2)
Sums of Independent Random Variables (Not Normal)
Proposition:
If x1,x2,dots,xk are independent and xiBinom(ni,p),i=1,2,-,k. Then
i=1kxiBinom(i=1kni,p)
If x1,x2,dots,xk are independent and xiNegBinom(ri,p),i=1,2,dots,k. Then
i=1kxiNegBinom(i=1kri,p)
If x1,x2,dots,xk are independent and xiPois(i),i=1,2,dots,k. Then
i=1kxiPois(i=1ki)
If x1,x2,dots,xk are independent and xi(i,),i=1,2,dots,k. Then
Example: Suppose the useful life (in years) of a refrigerator is normally distributed. The information for the useful life of three most common brands is summarized in the table.
\table[[brand,mean,standard deviation],[1,10,3],[2,9.5,2],[3,11,4]]
The useful lives of refrigerators are independent. Suppose a refrigerator is randomly selected from each brand. Find the probability that the total useful life of the refrigerators from the first two brands will exceed 1.9 times the useful life of the refrigerator from the 3 rd brand.
Practice 1: Let x have a normal distribution with mean 10 and variance 5. Let Y have a normal distribution with mean 12 and variance 5. Suppose x and Y are independent.
a) Find the probability that xY is greater than 25.
b) Find the probability that x-Y is greater than 2.
Practice 2: Let x be Binomial with parameters 10 and 0.5 and Y be binomial with parameters 12 and 0.5. Suppose these variables are independent. Find the probability that xY is equal to 16.
SOLVE THE PROBLEM USING THE NOTES FROM PAGE 1
Sums of Independent Random Variables Lincar

Step by Step Solution

1 Understanding Responsive Design Principles

blur-text-image

Related Time Series Analysis Questions