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In probability theory, the sample space of an experiment or random trial is the set of all possible outcomes or results of that experiment. A sample space is usually denoted using set notation, and the possible ordered outcomes are listed as elements in the set

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In probability theory, an outcome is a possible result of an experiment. ... All of the possible outcomes of an experiment form the elements of a sample space.

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What is the difference between theoretical and experimental probability?

Theoretical probability is what we expect to happen, where experimental probability is what actually happens when we try it out. The probability is still calculated the same way, using the number of possible ways an outcome can occur divided by the total number of outcomes.

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Experimental probability is the ratio of the number of times an event occurs to the total number of trials or times the activity is performed.

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Definition of Theoretical Probability. It is the likeliness of an event happening based on all the possible outcomes. The ratio for the probability of an event 'P' occurring is P (event) = number of favorable outcomes divided by number of possible outcomes

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Constructing a probability distribution for random variable

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Sal breaks down how to create the probability distribution of the number of "heads" after 3 flips of a fair coin.