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To do better than what was done before requires more samples.
Soon, with the error %.
How much sooner?
Ok. I want to find out the actual mean of numbers that we have small samples.
That is the point! You have tons and I have nothing but one example. I do not think I can get much more out of one example.
I have tons of data
As I lack of strong math knoledge I´m trying to undestand the event I withness
How could inferencial statistics help to know I want?
That is not correct. We covered the expected value of the experiment ( 48 / 1000 ), we used the central limit theorem to state that the wheel probably has an average close to ( 48 / 1000 ) and I explained the standard deviation.
Like any empirical experiment it can only provide evidence. Statistics you can say is designed to make mathematical sense out of data like yours.
We might start again.
That is what I told you. But 1000 trials is a lot larger than 30 trials. We can say that the sample ( the thousand trials ) mean is pretty close to the true mean. From what you have given it is the best estimate I can do.
But, it happened (in this example) in the first 1000 trials. The next 1000 trials it might hit 40 30 or 50, we don´t know it yet.
Okay, for your 48 out of a 1000 model, provided that is a true estimate of the mean.