A-B Testing: Difference between revisions

A-B Testing (edit)

9 bytes added , 1 February 2021

no edit summary

6,480

edits

Revision as of 02:11, 23 January 2021 (edit) Pyrope (talk \| contribs) No edit summary ← Older edit		Revision as of 21:44, 1 February 2021 (edit) (undo) Aardvark (talk \| contribs) No edit summary Newer edit →
Line 1:		Line 1:
			{{Stub}}
	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. ([https://en.m.wikipedia.org/wiki/A/B_testing Source])		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. ([https://en.m.wikipedia.org/wiki/A/B_testing Source])