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- Q467440 subject Q5639957.
- Q467440 abstract "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 outcomes are listed as elements in the set. It is common to refer to a sample space by the labels S, Ω, or U (for "universal set").For example, if the experiment is tossing a coin, the sample space is typically the set {head, tail}. For tossing two coins, the corresponding sample space would be {(head,head), (head,tail), (tail,head), (tail,tail)}. For tossing a single six-sided die, the typical sample space is {1, 2, 3, 4, 5, 6} (in which the result of interest is the number of pips facing up).A well-defined sample space is one of three basic elements in a probabilistic model (a probability space); the other two are a well-defined set of possible events (a sigma-algebra) and a probability assigned to each event (a probability measure function).".
- Q467440 thumbnail Coin_tossing.JPG?width=300.
- Q467440 wikiPageWikiLink Q10290214.
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- Q467440 wikiPageWikiLink Q5639957.
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- Q467440 wikiPageWikiLink Q623472.
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- Q467440 wikiPageWikiLink Q9492.
- Q467440 comment "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 outcomes are listed as elements in the set. It is common to refer to a sample space by the labels S, Ω, or U (for "universal set").For example, if the experiment is tossing a coin, the sample space is typically the set {head, tail}.".
- Q467440 label "Sample space".
- Q467440 depiction Coin_tossing.JPG.