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StatCrunch: History, Software & Overview
StatCrunch is a web-based statistical software application from Pearson Education. StatCrunch was originally created for use in college statistics courses. As a full-featured statistics package, it is now also used for research and for other statistical analysis purposes.
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StatCrunch topic overview
The analysis highlights History, Software and Overview as prominent areas in the source structure around StatCrunch.
Related topics
16
Source areas
3
Connected nodes
19
Extracted relationships
108
Concept neighborhoods
11
Bridge connections
19
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.
Software · 7 topics
History · 5 topics
Overview · 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.
Developer
Pearson Education
License
Proprietary software
Operating system
Web application (Windows, OS X, Linux, iOS, Android)
Original author
Webster West
Release
1997; 29 years ago (1997)
Stable release
April 2018 / April 3, 2018; 8 years ago (2018-04-03)
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 StatCrunch 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 StatCrunch shows recurring relationship patterns in the source. For example, StatCrunch → Aaron Adler, Allan, America, Analytics, Behavior, Bert Wachsmuth, Bruce Introductory Statistics, Carpenter, Chapter, Classroom, Comar Undergraduate Mathematics, Communication Information Science Reference, Computer Interaction Series, Dani Ben-Zvi, Directions The Mathematical Association, Edited, Education, Education Springer International Publishing, Ellis Organizing, February Another extracted example is StatCrunch → Android, Because StatCrunch, Data, Dropbox, Entire, Formulas, Google Drive, Microsoft Excel, Pearson's, Shared, Text, There, Web, Wikipedia, Windows. Use these groups to spot repeated connection types before inspecting the individual relationships.
StatCrunch
Top relations
related to Further reading· 69
StatCrunch → Aaron Adler, Allan, America, Analytics, Behavior, Bert Wachsmuth, Bruce Introductory Statistics, Carpenter, Chapter, Classroom, Comar Undergraduate Mathematics, Communication Information Science Reference, Computer Interaction Series, Dani Ben-Zvi, Directions The Mathematical Association, Edited, Education, Education Springer International Publishing, Ellis Organizing, February
related to Software· 15
StatCrunch → Android, Because StatCrunch, Data, Dropbox, Entire, Formulas, Google Drive, Microsoft Excel, Pearson's, Shared, Text, There, Web, Wikipedia, Windows
related to history· 14
StatCrunch → American, Android, CAUSEweb Resource, In, Java, JavaScript, MERLOT Classics Award, Over, StatCrunch Java, Web, Webster West, West, Wikipedia, Year Award
is a· 2
StatCrunch → web application, web-based statistical software application from Pearson Education
Developer· 1
StatCrunch → Pearson Education
License· 1
StatCrunch → Proprietary software
Operating system· 1
StatCrunch → Web application (Windows, OS X, Linux, iOS, Android)
Original author· 1
StatCrunch → Webster West
Release· 1
StatCrunch → 1997; 29 years ago (1997)
Stable release· 1
StatCrunch → April 2018 / April 3, 2018; 8 years ago (2018-04-03)
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 108 structured relationships around StatCrunch. Examples in this analysis include StatCrunch → Developer → Pearson Education and StatCrunch → License → Proprietary software. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
StatCrunch
Developer
Pearson Education
1.00
infobox
StatCrunch
License
Proprietary software
1.00
infobox
StatCrunch
Operating system
Web application (Windows, OS X, Linux, iOS, Android)
1.00
infobox
StatCrunch
Original author
Webster West
1.00
infobox
StatCrunch
Release
1997; 29 years ago (1997)
1.00
infobox
StatCrunch
Stable release
April 2018 / April 3, 2018; 8 years ago (2018-04-03)
1.00
infobox
StatCrunch
Type
Statistical analysis
1.00
infobox
StatCrunch
Website
www.statcrunch.com
1.00
infobox
StatCrunch
is a
web-based statistical software application from Pearson Education
0.90
text
StatCrunch
is a
web application
0.90
text
StatCrunch
related to Further reading
Glenn Ledder
0.60
section
StatCrunch
related to Further reading
Jenna
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 StatCrunch bring nearby vocabulary together. In this analysis, examples include Data, Statistical and Education. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
StatCrunch
Data
Statistical
Education
Android
Application
Created
Ios
Pearson
Software
Web
West
Statistics
statcrunch
Data
Statistical
Education
Android
Application
Created
Ios
Pearson
Software
Web
West
Statistics
statistical software
Webster
Education
Analysis
Application
Pearson
West
Statistical
Web-based
Graphing
License
Procedures
Research
pearson education
Education
Pearson
Software
Years
Website
Webster
Analysis
Springer
Statistics
Web-based
Statistical
West
software
Webster
Education
Analysis
Application
Pearson
West
Statistical
Web-based
License
Research
Statistics
Website
android
Ios
Windows
Application
Web
License
Website
Webster
Author
Created
Including
Pearson
Software
ios
Android
Windows
Web
License
Website
Webster
Including
Pearson
Software
Years
Statcrunch
West
statistics
Website
Webster
International
Springer
West
Windows
Years
Web
Data
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 StatCrunch, one of the stronger structural bridges in this analysis connects StatCrunch with Software. 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.
StatCrunch
Nodes20
Edges19
Triples108
Avg. degree1.9
Density0.1
Components1
Source & methodology
TTTA analyzes the structure around StatCrunch to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Software & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
