Difference between revisions of "Statistical test"

From Maths
Jump to: navigation, search
(Created page with "==Definition== We use the term ''statistical test'' for a test, {{M|T}}, with two outcomes (usually "yes"/1 or "no"/0). Let {{M|P\eq 1}} denote that the unit under test actual...")
 
m (Adding stub page stuff)
 
(2 intermediate revisions by the same user not shown)
Line 1: Line 1:
 +
{{ProbMacro}}{{Stub page|grade=A*|msg=Include [[hypothesis testing]] of which are an instance of statistical tests. Link to [[true/false positive/negative]] and create pages for [[false positive]] and such that redirect to an anchor on that page. Don't forget the {{link|power function|statistics}} - [[User:Alec|Alec]] ([[User talk:Alec|talk]]) 13:32, 14 December 2017 (UTC)}}
 +
__TOC__
 
==Definition==
 
==Definition==
We use the term ''statistical test'' for a test, {{M|T}}, with two outcomes (usually "yes"/1 or "no"/0).
+
A ''statistical test'', {{M|T}}, is characterised by two (a [[ordered pair|pair]]) of [[probability (object)|probabilities]]:
Let {{M|P\eq 1}} denote that the unit under test actually has this property we're testing for, and {{M|P\eq 0}} if it does not.
+
* {{M|T\eq(u,v)}}, where:
 +
** {{M|u}} is the probability of the test yielding a ''[[true-positive]]'' result
 +
** {{M|v}} is the probability of the test yielding a ''[[true-negative]]'' result
  
The statistical test is defined by the following four probabilities:
+
If we write {{M|[T\eq 1]}} for the test coming back positive, {{M|[T\eq 0]}} for negative and let {{M|P}} denote the ''actual'' correct outcome (which may be unknowable), denoting {{M|[P\eq 1]}} if the thing being tested for is, in truth, present and {{M|[P\eq 0]}} if absent, then:
* {{M|\mathbb{P}[T\eq 1\ \vert\ P\eq 1]\eq\alpha}} - "true positive"
+
{| class="wikitable" border="1"
* {{M|\mathbb{P}[T\eq 1\ \vert\ P\eq 0]\eq\beta}} - "''false positive''" as the test incorrectly reports positive.
+
|-
* {{M|\mathbb{P}[T\eq 0\ \vert\ P\eq 1]\eq\gamma}} - "''false negative''" as the test incorrectly reports negative yet the property is present
+
! ''Outcomes:''
* {{M|\mathbb{P}[T\eq 0\ \vert\ P\eq 0]\eq\delta}} - "true negative"
+
! Truly present<br/>{{M|[P\eq 1]}}
 +
! Truly absent<br/>{{M|[P\eq 0]}}
 +
|-
 +
! Test positive<br/>{{M|[T\eq 1]}}
 +
| {{M|\Pcond{T\eq 1}{P\eq 1}\eq u}}
 +
* '''''[[true positive]]'''''
 +
* '''''[[Power of statistical test|power]]'''''
 +
| {{M|\Pcond{T\eq 1}{P\eq 0}\eq 1-v}}
 +
* '''''[[false positive]]'''''
 +
* '''''[[Significance level of a statistical test|significance level]]'''''
 +
|-
 +
! Test negative<br/>{{M|[T\eq 0]}}
 +
| {{M|\Pcond{T\eq 0}{P\eq 1}\eq 1-u}}<br/>
 +
'''''[[false negative]]'''''
 +
| {{M|\Pcond{T\eq 0}{P\eq 0}\eq v}}<br/>
 +
'''''[[true negative]]'''''
 +
|}
 +
=OLD PAGE=
 +
==Definition==
 +
A ''statistical test'', {{M|T}}, is characterised by two (a [[ordered pair|pair]]) of [[probability (object)|probabilities]]:
 +
* {{M|T\eq(u,v)}}, where:
 +
** {{M|u}} is the probability of the test yielding a ''[[true-positive]]'' result
 +
** {{M|v}} is the probability of the test yielding a ''[[true-negative]]'' result
  
==Todo==
+
Tests are usually ''asymmetric'', see: [[#Explanation|below]] and ''[[asymmetry of statistical tests]]'' for more info.
Add an example where 1 in 10,000 actually has the property, but the test has a non-zero false-positive rate, actually meaning that if the test returns positive it's unlikely you actually have the property, relate to statistical power.
+
===Notation and Terminology===
 +
For a test subject, {{M|s}}, we say the outcome of the test is:
 +
# '''Positive: ''' {{M|[T(s)\eq 1]}}, {{M|[T(s)\eq\text{P}]}}, or possibly either of these without the {{M|[\ ]}}
 +
# '''Negative: ''' {{M|[T(s)\eq 0]}}, {{M|[T(s)\eq\text{N}]}}, or possibly either of these without the {{M|[\ ]}}
 +
====Power and Significance====
 +
The ''power'' of the test is
 +
==Explanation==
 +
Let {{M|R}} denote the result of the test, here this will be {{M|1}} or {{M|0}}, and let {{M|P}} be whether or not the subject actually has the property being tested for.
 +
As claimed above the test is characterised by two probabilities

Latest revision as of 13:32, 14 December 2017

\newcommand{\P}[2][]{\mathbb{P}#1{\left[{#2}\right]} } \newcommand{\Pcond}[3][]{\mathbb{P}#1{\left[{#2}\!\ \middle\vert\!\ {#3}\right]} } \newcommand{\Plcond}[3][]{\Pcond[#1]{#2}{#3} } \newcommand{\Prcond}[3][]{\Pcond[#1]{#2}{#3} }
Stub grade: A*
This page is a stub
This page is a stub, so it contains little or minimal information and is on a to-do list for being expanded.The message provided is:
Include hypothesis testing of which are an instance of statistical tests. Link to true/false positive/negative and create pages for false positive and such that redirect to an anchor on that page. Don't forget the power function - Alec (talk) 13:32, 14 December 2017 (UTC)

Definition

A statistical test, T, is characterised by two (a pair) of probabilities:

  • T\eq(u,v), where:
    • u is the probability of the test yielding a true-positive result
    • v is the probability of the test yielding a true-negative result

If we write [T\eq 1] for the test coming back positive, [T\eq 0] for negative and let P denote the actual correct outcome (which may be unknowable), denoting [P\eq 1] if the thing being tested for is, in truth, present and [P\eq 0] if absent, then:

Outcomes: Truly present
[P\eq 1]
Truly absent
[P\eq 0]
Test positive
[T\eq 1]
\Pcond{T\eq 1}{P\eq 1}\eq u \Pcond{T\eq 1}{P\eq 0}\eq 1-v
Test negative
[T\eq 0]
\Pcond{T\eq 0}{P\eq 1}\eq 1-u

false negative

\Pcond{T\eq 0}{P\eq 0}\eq v

true negative

OLD PAGE

Definition

A statistical test, T, is characterised by two (a pair) of probabilities:

  • T\eq(u,v), where:
    • u is the probability of the test yielding a true-positive result
    • v is the probability of the test yielding a true-negative result

Tests are usually asymmetric, see: below and asymmetry of statistical tests for more info.

Notation and Terminology

For a test subject, s, we say the outcome of the test is:

  1. Positive: [T(s)\eq 1], [T(s)\eq\text{P}], or possibly either of these without the [\ ]
  2. Negative: [T(s)\eq 0], [T(s)\eq\text{N}], or possibly either of these without the [\ ]

Power and Significance

The power of the test is

Explanation

Let R denote the result of the test, here this will be 1 or 0, and let P be whether or not the subject actually has the property being tested for. As claimed above the test is characterised by two probabilities