Experimental Probability: Experiment with probability using a fixed size section spinner, a variable section spinner, two regular 6-sided dice or customized dice. In probability theory, an event is said to happen almost surely (sometimes abbreviated as a.s.) if it happens with probability 1 (or Lebesgue measure 1). So, the probability that event $1$ occurs and event $2$ does not is $ p_1 \cdot (1-p_2) $. In other words, the set of possible exceptions may be non-empty, but it has probability 0. Our mission is to provide a free, world-class education to anyone, anywhere. Similarly, the probability of event $2$ happening and event $1$ not happening is $ p_2 \cdot (1 - p_1) $. Thus, p(R) = 0 asserts that the event R will not occur while, on the other hand, p(R) = 1 asserts that R will occur with certainty. extremes are interpreted as the probability of the impossible event: p(R) = 0, and the probability of the sure event: p(R) = 1. The probability of the other event not happening is $1-p_2$. . The concept is analogous to the concept of "almost everywhere" in measure theory. Probability tells us how often some event will happen after many repeated trials. This topic covers theoretical, experimental, compound probability, permutations, combinations, and more!
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