Experimental Probability and Theoretical Probability Quick!!

Experimental Probability
The chances of something happening, based on repeated testing and observing results. It is the ratio of the number of times an event occurred to the number of times tested. For example, to find the experimental probability of winning a game, one must play the game many times, then divide the number of games won by the total number of games played

Theoretical probability
The chances of events happening as determined by calculating results that would occur under ideal circumstances. For example, the theoretical probability of rolling a 4 on a four-sided die is 1/4 or 25%, because there is one chance in four to roll a 4, and under ideal circumstances one out of every four rolls would be a 4. Contrast with experimental probability

You go Macau, bet on BIG and SMALL, 3 times BIG and 7 times SMALL, so you can say the experimental probability of BIG is 3 out of 10 or 0.3.

Of course theoretical probability is 0.5 Big and 0.5 Small.

Experimental probability, in this case, may not be wrong. The dices may be biased, and therefore it is easier to open small than big....

Therefore there is a scientific significance of experimental probability.