1. How do I know the answer is right?
For deterministic tools such as the Basic Analysis, the math is right because this site is powered by Mathematica and Mathematica won't have it otherwise. In the case of probalistic tools involving data, you never know for certain. Probability implies "right" only to some degree. All forecasting involves error. But the "answer" you seek is the business decision.

The right question to ask is: How do I know the answer is as accurate as possible? As always, the GIGO rule applies. The better your data, the better your model, the more likely the information derived from the data analysis is valuable.

2. Is this process cost effective?
It is cost effective if the answers you obtain lead you to making better decisions. You can improve the effectiveness by entering accurate data. Some of the queries are answered with data provided by users like you. The more accurate the database, the better the responses to the queries.

3. Where does your data come from?
When mathestate is fully operational, data will come from two sources: We lease data from major data collectors in the real estate market and we obtain data from our users. Of the data provided by users we segregate data that is unconfirmed from the confirmed data.

4. What is the difference between confirmed and unconfirmed data?
Data you enter in the process of evaluating a property is maintained as "unconfirmed" until you advise us that you have purchased the property. Once you provide us with the minimum details for us to confirm your acquisition two things happen: (1) The data is confirmed by a third party before being placed in our confirmed database and (2) you receive a refund of __% of your user fee for our service.