Weak Law of Large Numbers

Notes:

• The Weak Law of Large Numbers (WLLN) essentially states that the sample mean based on a random sample of size n is close to the population mean with high probability when n is sufficiently large.
• In the context of point estimation, WLLN states that the sample mean is a consistent estimator of the population mean.