A collection of one or more outcomes is called an?
singleAnswer
event
Outcome (probability) Probability space
a collection of one or more outcomes
Outcome (probability) Probability space Business process Experiment (probability theory) Binary data Random variable Regression analysis Design of experiments Experiment Cross-sectional study
In probability theory, <b>an outcome</b> is a possible result of <b>an</b> experiment or trial. 
Each possible ... <b>The collection</b> of all such events is a sigma-algebra. <b>An</b> event 
containing exactly <b>one outcome</b> is called <b>an</b> elementary event. The event that 
contains all possible&nbsp;... In probability theory, a probability space or a probability triple ( Ω , F , P ) {\
displaystyle (\Omega ... This <b>collection</b> may or may not include each of the 
elementary events. Here, <b>an</b> &quot;event&quot; is a set of zero or <b>more outcomes</b>, i.e., a 
subset of the sample space. <b>An</b> event is considered to have &quot;happened&quot; during 
<b>an</b> experiment&nbsp;... A business process or business method is <b>a collection</b> of related, structured 
activities or tasks ... In the end, all processes are part of a largely unified <b>outcome</b>, 
one of &quot;customer value creation.&quot; This goal is ... ”<b>a collection</b> of activities that 
takes <b>one or more</b> kinds of input and creates an output that is of value to the 
customer.”. In probability theory, <b>an</b> experiment or trial (see below) is any procedure that can 
be infinitely repeated and has a well-defined set of possible <b>outcomes</b>, known as 
the sample space. <b>An</b> experiment is said to be random if it has <b>more</b> than <b>one</b> 
possible <b>outcome</b>, ... <b>The collection</b> of all such events is a sigma-algebra F {\
displaystyle&nbsp;... Binary data is data whose unit can take on only <b>two</b> possible states, traditionally 
labeled as 0 ... Number of states of <b>a collection</b> of discrete variables depends 
exponentially on ... Often, binary data is used to represent <b>one</b> of <b>two</b> 
conceptually opposed ... the <b>outcome</b> of <b>an</b> experiment (&quot;success&quot; or &quot;failure&quot;); 
the response to a&nbsp;... In probability and statistics, a random variable, random quantity, aleatory variable
, or stochastic ... For example, in the case of a coin toss, only <b>two</b> possible 
<b>outcomes</b> are considered, namely heads or tails. ... in <b>an</b> interval or <b>collection</b> of 
intervals, via a probability density function that is characteristic of the random 
variable&#39;s&nbsp;... In statistical modeling, regression analysis is a set of statistical processes for 
estimating the ... variable (often called the &#39;<b>outcome</b> variable&#39;) and <b>one or more</b> 
independent variables (often called &#39;predictors&#39;, &#39;covariates&#39;, or &#39;features&#39;). ... 
across a broader <b>collection</b> of non-linear models (e.g., nonparametric regression)
. The design of experiments is the design of any task that aims to describe and 
explain the ... In its simplest form, an experiment aims at predicting the <b>outcome</b> 
by ... The change in <b>one or more</b> independent variables is generally 
hypothesized to ... <b>a collection</b> of models that partition the observed variance into 
components,&nbsp;... <b>An</b> experiment is a procedure carried out to support, refute, or validate a 
hypothesis. Experiments provide insight into cause-and-effect by demonstrating 
what&nbsp;... In medical research, social science and biology, a cross-sectional study is a type 
of ... They differ from time series analysis, in which the behavior of <b>one or more</b> 
economic ... Cross-sectional studies may involve special data <b>collection</b>, 
including&nbsp;...
sets
Outcome (probability)