Can someone please explain to me experimental probability?
Experimental probalbility says that after running a bunch of experiments you reach the true probability of an event. Say youre flipping a fair coin. You expect to get heads or tails with equal probability. Flip a coin 10 times and say you get 8 H and 2 T. This suggests that P(h) is .8 and p(t) is .2 Flip a coin 100 times and say you get 62 H and 38 T. This suggests that P(h) =.62 and p(t)=.38 The point is that by the by the time you flip the coin a million times youre going to get appx half a million heads and half a million tails and thus you would have p(h)=p(t)=.5 I.e, as you increase the number of times of performing the experiment you approach the event’s true prob.
