Editing 2151: A/B
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==Explanation== | ==Explanation== | ||
+ | {{incomplete|Please mention here why this explanation isn't complete. On 15 May 2019, the Voynich manuscript was publicized as having been decoded by a stochastic technique ("looks good to me!") analogous to how this comic decides which ancient language is right for their document [[http://www.linkedin.com/in/Comet Comet]] 20:11, 23 May 2019 (UTC). Do NOT delete this tag too soon.}} | ||
{{w|A/B testing}} is a form of {{w|Scientific control|controlled experiment}} in which test subjects are randomly split into two groups, A and B, and each group is shown a slightly different version of the same thing. This is most often used for market research, as it allows researchers to discover which of two options are received more favorably by consumers. For example, a website might employ A/B testing by randomly showing 50% of visitors a version with a different font. By checking their site traffic analytics afterward, the site operators can see which version of the site received the most user engagement, which might tell them that the alternate font is a better choice. | {{w|A/B testing}} is a form of {{w|Scientific control|controlled experiment}} in which test subjects are randomly split into two groups, A and B, and each group is shown a slightly different version of the same thing. This is most often used for market research, as it allows researchers to discover which of two options are received more favorably by consumers. For example, a website might employ A/B testing by randomly showing 50% of visitors a version with a different font. By checking their site traffic analytics afterward, the site operators can see which version of the site received the most user engagement, which might tell them that the alternate font is a better choice. | ||