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2. How to read and compare mortgage loan estimates - AOL

   www.aol.com/finance/read-compare-mortgage-loan...

   A mortgage loan estimate is a standard three-page document detailing the estimated costs, structure and other terms of the loan. Mortgage lenders are required by law to provide borrowers with a ...

3. How to calculate your home equity — and how much of it you ...

   www.aol.com/finance/calculate-home-equity...

   Assume your home’s current value is $410,000, and you have a $220,000 balance remaining on your mortgage. Subtract the $220,000 outstanding balance from the $410,000 value. Your calculation ...

4. Point estimation - Wikipedia

   en.wikipedia.org/wiki/Point_estimation

   In statistics, point estimation involves the use of sample data to calculate a single value (known as a point estimate since it identifies a point in some parameter space) which is to serve as a "best guess" or "best estimate" of an unknown population parameter (for example, the population mean ). More formally, it is the application of a point ...

5. Mortgage calculator - Wikipedia

   en.wikipedia.org/wiki/Mortgage_calculator

   Mortgage calculators can be used to answer such questions as: If one borrows $250,000 at a 7% annual interest rate and pays the loan back over thirty years, with $3,000 annual property tax payment, $1,500 annual property insurance cost and 0.5% annual private mortgage insurance payment, what will the monthly payment be? The answer is $2,142.42.

6. 8 ways to increase your home’s value - AOL

   www.aol.com/finance/8-ways-increase-home-value...

   The cost of an addition varies, but typically ranges from about $22,200 to $81,800, according to HomeAdvisor, with an average cost of $50,305.. 3. Make your home more energy-efficient. Projects ...

7. Three-point estimation - Wikipedia

   en.wikipedia.org/wiki/Three-point_estimation

   These values are used to calculate an E value for the estimate and a standard deviation (SD) as L-estimators, where: E = (a + 4m + b) / 6 SD = (b − a) / 6. E is a weighted average which takes into account both the most optimistic and most pessimistic estimates provided. SD measures the variability or uncertainty in the estimate.