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1.3: Equally Likely Outcomes and Counting Techniques (Combinatorics)
https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/DSCI_500B_Essential_Probability_Theory_for_Data_Science_(Kuter)/01%3A_What_is_Probability/1.03%3A_Equally_Likely_Outcomes_and_Counting_Techniques_(Combinatorics)
Thus, the probability of an event in \(\Omega\) is equal to the number of outcomes in the event divided by the total number of outcomes in \(\Omega\). From this result, we see that in the context of e...Thus, the probability of an event in \(\Omega\) is equal to the number of outcomes in the event divided by the total number of outcomes in \(\Omega\). From this result, we see that in the context of equally likely outcomes calculating probabilities of events reduces to simply counting the number of outcomes in the event and the sample space.

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