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Null Hypothesis
The null hypothesis is an assumption in testing that there’s no significant difference or effect between two versions. It’s the default belief until data proves otherwise.
In A/B testing, the null hypothesis assumes both versions perform the same. If data shows a clear improvement in one version, the null hypothesis is rejected.
It’s a scientific way to avoid bias and ensure results are based on evidence, not assumptions.
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