The Monte Carlo Method is a statistical technique that uses repeated random sampling to approximate unknown values.
To estimate the average height of the U.S. population, we compute sample means for different groups and repeat this process for a large number of trials.
The Law of Large Numbers states that as the number of samples increases, the sample mean approaches the true population mean.
A Monte Carlo simulation was run to estimate the average height in the USA, showing that the estimated mean stabilizes around the true value.