Hypothesis Test: A Hypothesis Test is a statistical method used in A/B testing where you test the validity of a claim or idea about a population parameter. In the context of A/B testing, it's a way to prove or disprove the assumption that a particular change (like a new webpage design or marketing strategy) will increase conversions or other key metrics. The objective of a hypothesis test is to determine which outcome— the original version (A) or the new version (B)— is more effective.
This comprehensive checklist covers all critical pages, from homepage to checkout, giving you actionable steps to boost sales and revenue.