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Two-sample t-tests are the most common statistical significance tests for determining whether the difference we see between Treatment and Control is real or just noise (Student 1908; Wasserman 2004). Two-sample t-tests look at the size of the difference between the two means relative to the variance. The significance of the difference is represented by the p-value. The lower the p-value, the stronger the evidence that the Treatment is different from the Control.
Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing
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