If you have a fair coin--that is, there is no bias--the probability of getting heads is 0.5, and the that of getting tails is also 0.5. This probability is independent of the number of times, or the number of heads or tails obtained by flipping the coin. Experimental probability is only used when there's no practical mathematical way of deducing the probability. The same rule applies to throwing fair dice. The probabilities are deduced mathematically, independent of previous results. Experimental probability is therefore not applicable in these cases.
On the other hand, weather forecasting is based on experimental probability by investigating past weather patterns and their consequences. So weather forecasts may predict, for example, the probability, or possibility, of precipitation on a particular day or in a particular week, because the factors influencing weather are so numerous that a mathematical probability cannot be calculated.