1. Experimental probability is a probability that you have tested. You can't be certain the probability is accurate, as you can never conduct an infinite number of tests, but by rolling a dice fifty times you are probably going to be more accurate with your probabilities than if you took a guess. Conducting the tests (trials) is easy- just repeatedly take the chance, write down your results, and make an average for the chance of the result occurring.
2. 500 is more accurate. Let's say you have a coin that you flip. If you did the test thirty times, you might get anywhere from twenty eight heads to three heads and thereby have an inaccurate result. But if you did the test five hundred times there is a much lower chance of an outlier occurring as there are more flips that can correct a twenty eight heads streak, and turn the chance back toward fifty percent.
3. There are two meanings- if a result has a fifty percent chance of occurring, you could say it is equally likely (to happen and not to happen). But you could also say that if you had a three sided dice (if that was possible), with 1, 2, and 3, then 1 and 2 would also be equally likely to occur- because they both have a 33.3% chance of occurring. Equally likely to occur.
Lukas, great explanations. You did a good job of supporting your answers by providing examples. For the next post, try to think of a way that you could use some images to add even greater clarity to your post.
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