MathProbabilityEvents and probabilities

Formal definition of probability

Theory

Event space

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We saw that in most applications, we can define the event space F\mathcal F as a power set of the sample space. One immediate consequence of this is that F\mathcal F usually has a large number of elements: if our sample space Ω\Omega contains nn elements, then F\mathcal F contains 2n2^n elements.

Consider now an experiment of rolling a 6-sided dice. What is the number of events in the corresponding event space?

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