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A/B 测试显著性计算器.
判断 A/B 测试结果是否具有统计显著性：p 值、置信区间、相对提升和流量分配检查。
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使用方法: A/B 测试显著性计算器
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英语技术说明
Two-proportion z-test for conversion rates; not for revenue per visitor or other averages. Do not stop a test early because it looks significant. Everything is calculated in your browser; nothing you type is uploaded.
z = (p_B − p_A) ÷ √(p(1 − p)(1/n_A + 1/n_B)) with the pooled rate p. The interval uses unpooled standard errors. A chi-square test flags splits that are unlikely under 50/50.
500 conversions from 10,000 visitors against 580 from 10,000 is a +16 % lift with p = 0.0123: significant at 95 %.