Determine if your A/B test results are statistically significant. Get confidence levels, p-values, and actionable insights to make data-driven decisions.
Why It’s Useful for Online Marketers and Business Owners:
- Quickly calculate statistical significance for A/B test results.
- Provides actual confidence level and p-value for better decision-making.
- Offers clear explanations of z-score and statistical significance.
- Dynamic interpretation guides next steps based on test results.
- Estimates sample size needed to reach significance if results are inconclusive.
- Helps optimize conversion rates and marketing performance with data-driven insights.
A/B Test Significance Calculator
Determine if the difference between your test variations is statistically significant
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Variation A:
Variation B:
Comparison:
How to interpret: Statistical significance means that the difference observed between variations is unlikely to have occurred by random chance.
