Definition:Experiment
Jump to navigation
Jump to search
Definition
An experiment can be defined in natural language as a test to see what happens.
Informal Definition
An experiment is defined as:
- a course of action whose consequence is not predetermined.
Formal Definition
An experiment, which can conveniently be denoted $\EE$, is a probability space $\struct {\Omega, \Sigma, \Pr}$.
Examples
Throwing a $6$-Sided Die
Let $\EE$ be the experiment of throwing a standard $6$-sided die.
- The sample space of $\EE$ is $\Omega = \set {1, 2, 3, 4, 5, 6}$.
- Various events can be identified:
- $(1): \quad$ The result is $3$:
- The event space of $\EE$ is: $\Sigma = \set 3$.
- $(2): \quad$ The result is at least $4$:
- The event space of $\EE$ is: $\Sigma = \set {\forall \omega \in \Omega: \omega \ge 4}$.
- $(3): \quad$ The result is a prime number:
- The event space of $\EE$ is: $\Sigma = \set {2, 3, 5}$.
- The probability measure is defined as:
- $\forall \omega \in \Omega: \map \Pr \omega = \dfrac 1 6$
Tossing $2$ Coins
Let $\EE$ be the experiment of tossing $2$ coins.
The sample space of $\EE$ is:
- $\Omega = \set {\tuple {\mathrm H, \mathrm H}, \tuple {\mathrm H, \T}, \tuple {\T, \mathrm H}, \tuple {\T, \T} }$
where $\mathrm H$ denotes heads and $\T$ denotes tails.
Suppose we are interested only in whether the coins fall alike ($\mathrm A$) or different ($\mathrm D$).
Then the sample space of $\EE$ is:
- $\Omega = \set {\mathrm A, \mathrm D}$
Also known as
An experiment is also known as:
- a trial, particularly when it consists of a single performance of an experiment
or:
- an observation.
Also see
- Results about experiments can be found here.
Sources
- 1965: A.M. Arthurs: Probability Theory ... (previous) ... (next): Chapter $2$: Probability and Discrete Sample Spaces: $2.2$ Sample spaces and events
- 1966: Isaac Asimov: Understanding Physics ... (previous) ... (next): $\text {I}$: Motion, Sound and Heat: Chapter $1$: The Search for Knowledge: Flaws in Theory
- 1977: Gary Chartrand: Introductory Graph Theory ... (previous) ... (next): $\S 4.2$: Trees and Probability
- 1989: Ephraim J. Borowski and Jonathan M. Borwein: Dictionary of Mathematics ... (previous) ... (next): trial
- 1998: David Nelson: The Penguin Dictionary of Mathematics (2nd ed.) ... (previous) ... (next): trial
- 2008: David Nelson: The Penguin Dictionary of Mathematics (4th ed.) ... (previous) ... (next): trial
- 2013: Donald L. Cohn: Measure Theory (2nd ed.) ... (previous) ... (next): $10.1$: Basics
- 2014: Christopher Clapham and James Nicholson: The Concise Oxford Dictionary of Mathematics (5th ed.) ... (previous) ... (next): trial