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Statistical significance: History & Science
In statistical hypothesis testing, a result has statistical significance when a result at least as extreme would be very infrequent if the null hypothesis were true. More precisely, a study's defined significance level, denoted by α {\displaystyle \alpha } , is the probability of the study rejecting the null hypothesis, given that the null hypothesis is…
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Statistical significance topic overview
The analysis highlights History and Science as prominent areas in the source structure around Statistical significance.
Related topics
46
Source areas
5
Connected nodes
51
Extracted relationships
135
Concept neighborhoods
21
Bridge connections
51
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Role in statistical hypothesis testing · 14 topics
History · 10 topics
Overview · 10 topics
Challenges · 8 topics
Limitations · 4 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Statistical significance connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Statistical significance shows recurring relationship patterns in the source. For example, Statistical significance → American Psychological Association, American Psychologist, Amrhein, Ann Arbor, Archived, Behavioral Research Washington, Beyond Significance Testing, Bibcode, Blake, Bruce, Chow, Cohen, DC, Deirdre McCloskey, Economic Perspectives, Greenland, Guido, Highlights, How, Imbens Another extracted example is Statistical significance → Assessment, Bruce Thompon, Earliest Known Uses, ERIC Clearinghouse, Evaluation, February, George Mason University, Mathematics, Significance, Some, Statistical Assessment Service, Statistical Significance Testing Archived, The, The Concept, Washington, Wayback Machine, What, Words. Use these groups to spot repeated connection types before inspecting the individual relationships.
Statistical significance
Top relations
related to Further reading· 70
Statistical significance → American Psychological Association, American Psychologist, Amrhein, Ann Arbor, Archived, Behavioral Research Washington, Beyond Significance Testing, Bibcode, Blake, Bruce, Chow, Cohen, DC, Deirdre McCloskey, Economic Perspectives, Greenland, Guido, Highlights, How, Imbens
related to External links· 18
Statistical significance → Assessment, Bruce Thompon, Earliest Known Uses, ERIC Clearinghouse, Evaluation, February, George Mason University, Mathematics, Significance, Some, Statistical Assessment Service, Statistical Significance Testing Archived, The, The Concept, Washington, Wayback Machine, What, Words
related to history· 12
Statistical significance → Egon Pearson, Fisher, History, In, Jerzy Neyman, John Arbuthnot, Pierre-Simon Laplace, Research Workers, Ronald Fisher, Statistical, Statistical Methods, They
related to Overuse in some journals· 10
Statistical significance → Applied Social Psychology, Banning, Basic, Bayes, In, Other, Some, Starting, There, Using Bayesian
related to Redefining significance· 5
Statistical significance → Additionally, American Statistical Association, ASA, In, Other
related to Role in statistical hypothesis testing· 5
Statistical significance → For, It, Statistical, The, To
related to Significance thresholds in specific fields· 3
Statistical significance → For, Higgs, In
related to Limitations· 2
Statistical significance → Researchers, There
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 135 structured relationships around Statistical significance. Examples in this analysis include whether a group of objects is heavier or the performance of students on an assessment is better → instance of → of the distribution.The use of a one-tailed test is dependent on whether the research question or alternative hypothesis specifies a direction and particle physics → instance of → then the one-tailed test has no power.Significance thresholds in specific fieldsIn specific fields. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
whether a group of objects is heavier or the performance of students on an assessment is better
instance of
of the distribution.The use of a one-tailed test is dependent on whether the research question or alternative hypothesis specifies a direction
0.80
text
particle physics
instance of
then the one-tailed test has no power.Significance thresholds in specific fieldsIn specific fields
0.80
text
manufacturing
instance of
then the one-tailed test has no power.Significance thresholds in specific fieldsIn specific fields
0.80
text
statistical significance is often expressed in multiples of the standard deviation or sigma
instance of
then the one-tailed test has no power.Significance thresholds in specific fieldsIn specific fields
0.80
text
genome-wide association studies
instance of
which corresponds to a p-value of about 1 in 3.5 million.In other fields of scientific research
0.80
text
significance levels as low as 5
instance of
which corresponds to a p-value of about 1 in 3.5 million.In other fields of scientific research
0.80
text
particle physics
instance of
Significance thresholds in specific fieldsIn specific fields
0.80
text
manufacturing
instance of
Significance thresholds in specific fieldsIn specific fields
0.80
text
statistical significance is often expressed in multiples of the standard deviation or sigma
instance of
Significance thresholds in specific fieldsIn specific fields
0.80
text
data dredging
instance of
Other researchers responded that imposing a more stringent significance threshold would aggravate problems
0.80
text
Statistical significance
related to External links
The
0.60
section
Statistical significance
related to External links
Earliest Known Uses
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Statistical significance bring nearby vocabulary together. In this analysis, examples include Significance, Statistical and Testing. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Statistical significance
Significance
Statistical
Testing
Level
Methods
Effect
Scientific
Alpha
Displaystyle
Archived
Results
Threshold
statistical significance
Significance
Statistical
Testing
Level
P-value
Research
Null
Methods
Effect
Scientific
Alpha
Displaystyle
statistical hypothesis testing
Null
Significance
Probability
True
P-value
Testing
Alpha
Displaystyle
Given
Rejecting
Less
Level
null hypothesis
Null
Probability
True
Less
P-value
Alpha
Given
Rejecting
Displaystyle
Level
Result
Testing
clinical significance
Statistical
Level
Testing
P-value
Research
Null
Effect
Alpha
Displaystyle
Practical
Threshold
Methods
statistical methods for research workers
Significance
Testing
Methods
Research
Scientific
Statistical
Significant
Archived
Results
Threshold
Would
Also
confidence level
Alpha
Displaystyle
Null
Significance
P-value
Rejecting
Less
Set
Probability
True
Observed
Study
alternative hypothesis
Null
Probability
True
P-value
Testing
Alpha
Displaystyle
Given
Rejecting
Less
Level
Result
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Statistical significance, one of the stronger structural bridges in this analysis connects Statistical significance with Role in statistical hypothesis testing. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Statistical significance
Nodes52
Edges51
Triples135
Avg. degree1.96
Density0.038462
Components1
Source & methodology
TTTA analyzes the structure around Statistical significance to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
