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This free A/B test calculator will help you compare two variants of your website, A and B, and tell you the probability that B is better. You can read more about A/B testing in our earlier blog post on the subject. You may also be interested in our Chi-Squared sample size calculator which will help you calculate the minimum sample size needed to run a Chi-Squared test, given an expected standardised effect size.
See also: Fast Data Science A/B test Calculator (Bayesian) A/B testing is a way you can test two things, Thing A, and Thing B, to see which is better. You most commonly hear about A/B testing in the context of commercial websites, but A/B testing can be done in a number of different contexts, including offline marketing, and testing prices.
Explainable AI for Businesses Guest post by Vidhya Sudani Introduction AI is moving rapidly and it can be hard to understand how an AI model works and what decisions it makes. Businesses are increasingly turning to Explainable AI (XAI) to demystify the “black box” nature of traditional machine learning models.
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