This calculator helps you determine the statistical significance of your A/B test results. It is designed for marketers and analysts who need to validate their test findings quickly and accurately.
Calculator
Results
Significance Level:
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Confidence Interval:
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Data Source and Methodology
All calculations are based on statistical methods utilized in A/B testing as documented in [Authoritative Data Source].
The Formula Explained
The calculator uses the following formula for significance testing:
Significance Formula: \( Z = \frac{p1 - p2}{\sqrt{p(1-p)(\frac{1}{n1}+\frac{1}{n2})}} \)
Glossary of Variables
- Control Group Conversions: Number of conversions in the control group.
- Control Group Visitors: Total visitors in the control group.
- Variation Group Conversions: Number of conversions in the variation group.
- Variation Group Visitors: Total visitors in the variation group.
- Significance Level: Indicates the statistical significance of the test.
- Confidence Interval: The range within which the true value lies with a certain level of confidence.
Frequently Asked Questions (FAQ)
What is A/B testing?
A/B testing is a method of comparing two versions of a webpage or app against each other to determine which one performs better.
How does this calculator work?
The calculator uses statistical formulas to compare conversion rates between two groups and determine if the difference is statistically significant.