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▲In general '''go/no go''' testing refers to a pass/fail test (or check) principle using two boundary conditions or a [[binary classification]].
A '''go/no-go''' test is a two-step verification process that uses two boundary conditions, or a [[binary classification]]. The test is passed only when the ''go'' condition has been met and also the ''no-go'' condition has failed.
The test gives no information as to the degree of conformance to, or deviation from the boundary conditions. These tests can be used for [[statistical process control]] purposes. There are specific SPC tools that use parameter based measurements (e.g., P-charts) for determining the stability of a process.
It has uses in engineering, psychology, military, and manufacturing. For example, a rocket [[launch status check]] involves a go/no-go test.
== Uses ==
=== Engineering ===
In [[engineering]] the test is traditionally used only to check noncritical parameters where the manufacturing process is believed to be stable and well controlled, and the [[tolerance (engineering)|tolerance]]s are wide compared to the [[frequency distribution|distribution]] of the parameter.
For example, the preceding
=== Psychology ===
In [[psychology]], go/no-go test, developed by [[neuropsychologist]] [[Alexander Luria]] in 1940-50s is used to measure a participant's capacity for switching between several types of behavioural response ("plasticity") and control of adequacy of response (impulse control and sustained attention). Since the work of [[Alexander Luria]] in [[neuropsychology]], such response is linked to the cortical [[frontal lobes]].
For example, a go/no-go test that requires a participant to perform an action given certain stimuli (e.g., press a button
=== Military ===
In the [[United States Army]], drills and proficiency evaluation rubrics are based on a
=== Manufacturing <span class="anchor" id="Go/no-go gauges"></span> <span class="anchor" id="Go/no go gauges"></span> ===
{{main|Go/no-
[[File:Go & No-Go gauge.jpg|thumb|Go and no-go gauges]]
Go/no-go gauges are encountered in all types of manufacturing.<ref>{{cite book | url=https://archive.org/details/in.ernet.dli.2015.212228 | page=[https://archive.org/details/in.ernet.dli.2015.212228/page/n101 78] | title=Machine Tool Operation| publisher=McGraw-Hill book Company, Incorporated | last1=Burghardt| first1=Henry D.| year=1919}}</ref>
They may measure a physical dimension, e.g. (50 ± 0.
A typical example is a [[plug gauge]].<ref>{{cite book|last=Hoffman|first=Edward G.|title=Fundamentals of Tool Design|year=1985|publisher=Society of Manufacturing Engineers (SME) Publications/Marketing Division|___location=Dearborn|isbn=0-87263-134-6|pages=499–502}}</ref>
==See also==
*[[Shock detector]]▼
*[[Gauge block]]
*[[Qualitative property]]
▲*[[Shock detector]]
*[[Litmus test (politics)]]
*[[Evaluation of binary classifiers]]
*[[Confusion matrix]]
==References==
<references />
==External links==▼
▲== External links ==
* [https://tstbl.co/891-623 An online version of go/no-go test]
{{DEFAULTSORT:Go No Go}}
[[Category:Quality control]]
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