For Effective A/B/n Testing, Try Running Them Simultaneously | HackerNoon

"In practice, A/B testing helps in accurately determining the real impact of features on user behavior, considering factors like timing and campaigns that often skew results."

"The Central Limit Theorem asserts that as sample size increases, the distribution of means will approach a normal distribution, crucial for effective statistical analysis in A/B testing."

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