About: A/B testing

Facets (new session)
Description
Metadata
Settings
- Rule:
- Inverse Functional Properties:
- "Same As":

About: A/B testing Goto Sponge NotDistinct Permalink

An Entity of Type : owl:Thing, within Data Space : el.dbpedia.org associated with source document(s)

A/B testing (also known as bucket testing or split-run testing) is a user experience research methodology. A/B tests consist of a randomized experiment with two variants, A and B. It includes application of statistical hypothesis testing or "two-sample hypothesis testing" as used in the field of statistics. A/B testing is a way to compare two versions of a single variable, typically by testing a subject's response to variant A against variant B, and determining which of the two variants is more effective.

Attributes	Values
rdf:type	Thing
rdfs:label	A/B testing (en)
rdfs:comment	A/B testing (also known as bucket testing or split-run testing) is a user experience research methodology. A/B tests consist of a randomized experiment with two variants, A and B. It includes application of statistical hypothesis testing or "two-sample hypothesis testing" as used in the field of statistics. A/B testing is a way to compare two versions of a single variable, typically by testing a subject's response to variant A against variant B, and determining which of the two variants is more effective. (en)
sameAs	A/B testing A/B testing
dbp:wikiPageUsesTemplate	dbt:Authority_control dbt:Citation_needed dbt:Reflist dbt:Sfrac dbt:Short_description dbt:Software_testing
Subject	Experiments Software testing Market research
thumbnail	wiki-commons:Special:FilePath/A-B_testing_example.png?width=300
foaf:depiction
gold:hypernym	Way
prov:wasDerivedFrom	http://en.wikipedia.org/wiki/A/B_testing?oldid=1066551042&ns=0
Wikipage page ID	9332179 (xsd:integer)
page length (characters) of wiki page	23764 (xsd:nonNegativeInteger)
Wikipage revision ID	1066551042 (xsd:integer)
Link from a Wikipage to another Wikipage	Normal distribution Null hypothesis OSI model Welch's t-test Adaptive control Average revenue per user Barack Obama 2008 presidential campaign Barnard's test Between-group design Bias Binomial distribution Statistical hypothesis testing Statistical hypothesis testing Statistics Two-sample hypothesis testing Experiments Software testing Gibbs sampling Market research Methodology Observation Observational study Quasi-experiment Chi-squared test Choice modelling Claude C. Hopkins Click-through rate Customer engagement Hypertext Transfer Protocol LinkedIn Purchase funnel Sampling (statistics) Test statistic Controlling for a variable Conversion tracking Microsoft Microsoft Bing Reverse proxy Social media Database Fisher's exact test Scientific Advertising Scientific control Evidence-based practice Facebook Instagram Mann–Whitney U test Traffic shaping User agent User experience Continuous and discrete variables Estimator Student's t-test Z-test Mean Multi-armed bandit Multinomial distribution Multinomial test Multivariate random variable Multivariate statistics Multivariate testing in marketing Network effect Network traffic Poisson distribution Political campaign Randomized controlled trial Randomized experiment Response rate (survey) William Sealy Gosset
has abstract	A/B testing (also known as bucket testing or split-run testing) is a user experience research methodology. A/B tests consist of a randomized experiment with two variants, A and B. It includes application of statistical hypothesis testing or "two-sample hypothesis testing" as used in the field of statistics. A/B testing is a way to compare two versions of a single variable, typically by testing a subject's response to variant A against variant B, and determining which of the two variants is more effective. (en)
foaf:isPrimaryTopicOf	http://en.wikipedia.org/wiki/A/B_testing
is Wikipage redirect of	A-B testing A/B Testing A-b test Split test Split testing

Faceted Search & Find service v1.17_git151 as of Feb 20 2025

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Nov 11 2024, on Linux (x86_64-ubuntu_focal-linux-gnu), Single-Server Edition (82 GB total memory, 2 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software