from an exponential distribution with expected value 0.2, if i get the mean of 20 observations, then repeat (get another 20) , etc, so in total 1000 times so 1000 means, then compare it with doing the whole thing again but now with 100 observations, i notice that there are more mean values from the 100 observations experiment, that are closer to 0.2, what property of convergence in probability is this?

Is is strong law of large numbers or weak law of large numbers or something else?
And can someone explain briefly what the difference is between strong law and weak law, I read wiki, but that makes no sense to me.

Any help is appriciated.