How accurate is a Guess in statistics.

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The discussion centers on the concept of statistical probabilities and their interpretation. Participants question the notion of outcomes being viewed as a "Law like" process, emphasizing that there are typically multiple outcomes rather than a single definitive one. They clarify that mathematical probability is based on given distributions and is not observer dependent. The accuracy of a guess in this context is deemed impossible to quantify. Overall, the conversation highlights the need for clearer definitions in discussing statistical concepts.
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In Stastitical Probabilities, the outcome is intepreted as a fundamental 'Law like' process.

Is this based on observer dependance?

P.S How accurate is a Guess?
 
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First, I have absolutely no idea what you mean by "Statistical Probabilities". Are there other kinds of probabilities?

Second, I have no idea where you got the idea that, in any kind of probability, "the outcome is intepreted as a fundamental 'Law like' process. "

For one thing, there are usually many "outcomes" not "the outcome". Also, in mathematical probablility, we are typically "given" the underlying probability distribution but I would not call that 'Law like'.

If that is what you are talking about, then, no, it is not "observer dependent". Of course, when you are applying a mathematical model to a statistical problem, you might approximate the given distribution by one based on observation.

Finally, it's impossible to say how "accurate" a "guess" is.
 
Originally posted by HallsofIvy
First, I have absolutely no idea what you mean by "Statistical Probabilities". Are there other kinds of probabilities?

Second, I have no idea where you got the idea that, in any kind of probability, "the outcome is intepreted as a fundamental 'Law like' process. "

For one thing, there are usually many "outcomes" not "the outcome". Also, in mathematical probablility, we are typically "given" the underlying probability distribution but I would not call that 'Law like'.

If that is what you are talking about, then, no, it is not "observer dependent". Of course, when you are applying a mathematical model to a statistical problem, you might approximate the given distribution by one based on observation.

Finally, it's impossible to say how "accurate" a "guess" is.


Thanks Ivy, it was a hasty posting I had been flying around a number a site's looking for a defined explination:http://en.wikipedia.org/wiki/Statistical_probability

But your reply is correct in that my post was ill-defined, thanks.
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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