sample space

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sample space

n.
The set of all possible outcomes of an observable experiment or random trial.
American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.

sample space

n
(Statistics) statistics the set of possible outcomes of an experiment; the range of values of a random variable
Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014
References in periodicals archive ?
In any case of interest, the sequences are elements of [{0,1, ..., 9}.sup.N] or [R.sup.N] and researchers would like to give a criterion that decides for a sequence to be "random." In general, sample spaces that allow a Polish Space structure and a surjective transformation (the shifting transformation) embrace the interesting cases.
LIMITATIONS: The differences between more specific age groups and sample spaces could have been considered.
To sum up, heavy trucks and earthquakes load are two kinds of loads with different natures and should be put in different sample spaces for their combination.
Subsequent chapters cover countable and uncountable sample spaces, continuous random variables, functions of one and two random variables, conditional probabilities for countable sample spaces and continuous random variables, Bernoulli, geometric and Poisson processes, Brownian motion and white noise, and convergence of random variables.
* Construct sample spaces for single-step experiments with equally likely outcomes (ACMSP167)
According to the NCTM's Principles and Standards for School Mathematics for Grades 9-12, students should "understand the concepts of sample space and probability distribution and construct sample spaces and distributions in simple cases" (NCTM, 2000, p.
For each type he sets sample spaces with the odds of throwing or drawing the various points and possible outcomes.
This book helps students develop their probabilistic thinking by introducing them to the notion of sample space and the use of tree diagrams and geometric regions to represent sample spaces.
If we start from the space [V.sub.n] instead, we obtain another sequence of sample spaces which correspond to the standard coarsening until the 0-level is reached for some direction, then standard coarsening in the other directions and so on.
For example, the variances for randomised and ordered data in three-dimensional sample spaces are important parameters in exploration and mining.