Search results
Results From The WOW.Com Content Network
In probability theory, the sample space (also called sample description space, [1] possibility space, [2] or outcome space[3]) of an experiment or random trial is the set of all possible outcomes or results of that experiment. [4]
The sample space of an experiment is the set of all possible outcomes of the experiment. For example, suppose we roll a dice one time. The sample space of possible outcomes includes: Sample space = 1, 2, 3, 4, 5, 6. Using notation, we write the symbol for sample space as a cursive S and the outcomes in brackets as follows: S = {1, 2, 3, 4, 5, 6}
The sample space of a random experiment is the collection of all possible outcomes. An event associated with a random experiment is a subset of the sample space. The probability of any outcome is a number between 0 and 1. The probabilities of all the outcomes add up to 1.
Sample Space is a key concept in probability theory and is used to determine the likelihood of different results occurring in a random experiment or event, by representing all possible outcomes or events that can occur.
A sample space is a collection or a set of possible outcomes of a random experiment. The sample space is represented using the symbol, “S”. The subset of possible outcomes of an experiment is called events. A sample space may contain a number of outcomes that depends on the experiment.
The sample space of an experiment is the set of all possible outcomes. Three ways to represent a sample space are: to list the possible outcomes, to create a tree diagram, or to create a Venn diagram.
A sample space is the set of all possible outcomes of a statistical experiment, and it is sometimes referred to as a probability space. And outcomes are observations of the experiment, and they are sometimes referred to as sample points.
The sample space of a random experiment is the collection of all possible outcomes. An event associated with a random experiment is a subset of the sample space. The probability of any outcome is a number between 0 and 1. The probabilities of all the outcomes add up to 1.
A sample space is the set of all possible outcomes (equally likely) of a probability experiment, typically denoted using set notation. Well-defined sample spaces are a key aspect of of a probabilistic model, along with well-defined events with assigned probabilities.
The sample space essentially defines the denominator in probability calculations. Considering the sample space can help distinguish between “what is the probability this happens to me?” and “what is the probability this happens to someone somewhere sometime?” (as discussed in Section 1.5.)