In conditional probabilities, the sample space at every step is dependent on previous outcomes. How do we then define a sample space? In particular, why is it possible to define the sample space of, for example, Polya's urn model as $\Omega = {[B,W]}^n$ when every sequence of black and white isn't equally likely?
2026-02-22 21:45:11.1771796711
What is the sample space in conditional probability?
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