Provide an example of how to set up the integral ranges to find a particular probability area.
Let Y_1 and Y_2 have joint probability density function given by
f(y_1,y_2) = 6(1-y_2) if 0 <= y_1 <= y_2 <= 1
a) Find P(Y_1 <= 3/4 , Y_2 >= 1/2)
b) Find P(Y_1 <= 3/4 , Y_2 <= 3/4)
The easiest way to set up integral ranges is to actually draw a diagram of the domain of the function. Note that the domain is bounded by the square 0 <= y_1 <= 1, 0 <= y_2 <=1. So let's start by drawing that. Then because there's an additional constraint that y_1 <= y_2, you'll want to draw a diagonal line y_1 = y_2, and shade the upper triangle. (If you're ever doubtful regarding which region to shade, pick a random point in each region, and test to see if that point satisfies ...
The easiest way to set up integral ranges is to actually draw a diagram of the domain of the function. From your graph, determine whether the region of integration is simple. If not, methodically divide the region into parts that are simple.
I cannot prove the solution given for the following Conditional Joint Uniform Distribution. I have a fairly detailed answer provided by my professor, but I cannot do the Integration to prove.
Could you please provide a detailed step by step integration to backup the given answer. I am sure I am missing a basic either Uniform observation OR just not setting up the Uniform Integrals properly.View Full Posting Details