A Weak Law of Large Numbers is a proposition stating a set of conditions that guarantee the convergence in probability of the sample mean to the population mean. The adjective Weak is used to distinguish Weak Laws from Strong Laws, which instead require convergence to the population mean to be in the almost sure sense.
The lecture entitled Laws of Large Numbers discusses Weak and Strong Laws in more detail.
Previous entry: Variance formula
Next entry: WLLN