A-B Testing: Difference between revisions
1
No edit summary |
(1) Tags: Reverted Mobile edit Mobile web edit |
||
| Line 1: | Line 1: | ||
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]) | ||