Probabilities are computed or assessed in a number of ways. It depends upon what we are in fact considering. If we think about the games we played. Using the 1st game, coin flip, we have two possible results, a head or a tail. Therefore the possibility that a head or a tail comes is 50% or ½. When we have more than a single coin, in that case the probability of each side for each coin needs to be taken into account. If you continue to flip the coin more and more the chances that we get a fifty-fifty split becomes more likely. The total probabilities always add up to a total of 1. Next, let's think about the 2nd game which is the dice roll. In this case there are equal possibilities of all of the 6 sides. Therefore each side has got a probability of 1/6. I was a bit more confused with this however the more that I rolled the dice and watched the numbers change the more I saw what it was saying. In probability theory, the law of large numbers (LLN) is a theorem that describes the result of performing the same experiment a large number of times. According to the law, the average of the results obtained from a large number of trials should be close to the expected value, and will tend to become closer as more trials are performed. I think that actually doing the test over and over is a good way to see your results. And get a likely answer to your problem. It seems that the more you do it the chances are that you will get to the desired output. In many cases figuring out how likely it is going to be that one thing happens is best done by charts or basic statistics. Rolling a dice over and over can show you that it is this likely you will get this, but if you try it again you might get totally different answers so the more you do it the more that you will see it level out. If children learn like me they will have a hard time seeing the big picture, I think that when teaching probability it is best done by real examples not with pictures.
Probabilities are computed or assessed in a number of ways. It depends upon what we are in fact considering. If we think about the games we played. Using the 1st game, coin flip, we have two possible results, a head or a tail. Therefore the possibility that a head or a tail comes is 50% or ½. When we have more than a single coin, in that case the probability of each side for each coin needs to be taken into account. If you continue to flip the coin more and more the chances that we get a fifty-fifty split becomes more likely. The total probabilities always add up to a total of 1. Next, let's think about the 2nd game which is the dice roll. In this case there are equal possibilities of all of the 6 sides. Therefore each side has got a probability of 1/6. I was a bit more confused with this however the more that I rolled the dice and watched the numbers change the more I saw what it was saying. In probability theory, the law of large numbers (LLN) is a theorem that describes the result of performing the same experiment a large number of times. According to the law, the average of the results obtained from a large number of trials should be close to the expected value, and will tend to become closer as more trials are performed. I think that actually doing the test over and over is a good way to see your results. And get a likely answer to your problem. It seems that the more you do it the chances are that you will get to the desired output. In many cases figuring out how likely it is going to be that one thing happens is best done by charts or basic statistics. Rolling a dice over and over can show you that it is this likely you will get this, but if you try it again you might get totally different answers so the more you do it the more that you will see it level out. If children learn like me they will have a hard time seeing the big picture, I think that when teaching probability it is best done by real examples not with pictures.