It is no surprise to me that a black man "poking around" seemingly random houses will eventually attract a higher amount of attention then a white lady would.

@Demetri Chase jr The entire purpose of Yellow Letters is to make the mailing appear as though it came from a random person who is interested in buying the house as opposed to a company. 

I want to make sure that the test and control files are similar and at least do not significantly differ from each other for my key variables.The Test & control files will be the same size splitting the total file using a random number generator.I then plan to measure the key variables using T-Test for each of the two files to make sure they pass the critical value 0.05. (95% significance).However, I have been asked to either a) ensure proportions are maintained, i.e gender (Stratified Sampling) or b) make each file almost the same by sorting on the key variable and selecting every 2nd record as the Test file Queries:1) Can I still use T-Tests to measure the similarity / difference between the key variable within the file or do i now need a different stats technique and if so what should i use?

So in the NDA we would agree that I would get payed X amount when I provide the information on the lead to the investor (Keep in mind that these are leads that would be willing to sell, not just any random lead).

And how far back to random splice into so splices dont lap??

I hope my reply helps, it's just a few "random thoughts" for you.1.

Well, this property didn't get much interest at all outside of that buyer -- had we not had the relationship with the agent, that buyer never would have seen the house and who knows how long the seller would have had to wait for a buyer to randomly come along?

Banks will do random checks after closing to make sure the house wasn't resold.

Building your own property management system from scratch using random parts is enticing, but it's a tremendous time-wasting trap for most investors.

Put it on your car/in your truck and take it to a random neighborhood.