Aisha K.
Mar 12, 2026
Clean layout and the results update instantly. Exactly what I needed for a quick planning check.
Digital Tech & SEO Marketing
A/B Test Significance Calculator — Statistical Confidence
Z-score from pooled proportion; significance at 95% when |Z| > 1.96.
Estimate whether an A/B test result is statistically significant. Planning estimates only — verify with production tools and vendor pricing where applicable.
Inputs
0.150
0.150
1001000000
Smart analysis
Recommendations
Tailored to your live inputs and result—guidance only, not professional advice.
- Interpret
Treat this as a planning estimate
Primary result: Confidence = 98.3%. Re-run with optimistic and pessimistic inputs to understand the range—not just a single point.
Scenario studio
Compare A vs B
Capture two sets of inputs on this device, then see which outcome wins. Share either scenario with a link.
Scenario A
Adjust inputs, then capture this slot.
Scenario B
Adjust inputs, then capture this slot.
Plain-English guide
Terms & how it works
Confused by a field? Read the short definitions here while you use the tool.
Control conversion (%)
The “Control conversion (%)” value used in this tool’s formula. Adjust it to see results update live.
Variant conversion (%)
The “Variant conversion (%)” value used in this tool’s formula. Adjust it to see results update live.
Visitors per variant
The “Visitors per variant” value used in this tool’s formula. Adjust it to see results update live.
How this calculator works
Estimate whether an A/B test result is statistically significant. Planning estimates only — verify with production tools and vendor pricing where applicable. Z-score from pooled proportion; significance at 95% when |Z| > 1.96. Example: Control 2.0%, variant 2.5%, 10K visitors each → ~95% confidence, significant.
Z-score from pooled proportion; significance at 95% when |Z| > 1.96.
Example: Control 2.0%, variant 2.5%, 10K visitors each → ~95% confidence, significant.
When to use this A/B Testing Significance
Common use cases
- Estimate whether an A/B test result is statistically significant.
- Sanity-check with this case: Control 2.0%, variant 2.5%, 10K visitors each → ~95% confidence, significant.
- The relationship is: Z-score from pooled proportion; significance at 95% when |Z| > 1.96.
Localized examples
- Digital Tech & SEO Marketing: the example on this page uses the same formula as the widget.
What you get
- Fields: Control conversion (%), Variant conversion (%), Visitors per variant
- Z-score from pooled proportion; significance at 95% when |Z| > 1.96.
- Example on the page: Control 2.0%, variant 2.5%, 10K visitors each → ~95% confidence, significant.
How to Calculate A/B Testing Significance Step-by-Step
- 1Enter Control conversion (%), Variant conversion (%), Visitors per variant. Use the values you have, not a catalog average, unless that is all you know.
- 2Z-score from pooled proportion; significance at 95% when |Z| > 1.96.
- 3Worked case: Control 2.0%, variant 2.5%, 10K visitors each → ~95% confidence, significant.
- 4Compare the result to last month’s invoice or a vendor calculator before you commit capacity.
Governing formula
Z-score from pooled proportion; significance at 95% when |Z| > 1.96.
Control 2.0%, variant 2.5%, 10K visitors each → ~95% confidence, significant.
Example: set Control conversion (%) = 2, Variant conversion (%) = 2.5, Visitors per variant = 10,000, then read the result.
Variable definitions
- controlConvPct
Control conversion (%)
The “Control conversion (%)” field. Default 2; typical range 0.1–50.
- variantConvPct
Variant conversion (%)
The “Variant conversion (%)” field. Default 2.5; typical range 0.1–50.
- samplePerVariant
Visitors per variant
The “Visitors per variant” field. Default 10000; typical range 100–1000000.
- Closed-form math (Z-score from pooled proportion; significance at 95% when |Z| > 1.96.) misses idle time, egress, packet loss, and reserved capacity on the real bill.
- Nothing here is uploaded for the calculation itself.
Frequently Asked Questions
Z-score from pooled proportion; significance at 95% when |Z| > 1.96.
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Community
Reviews & Ratings
See what others think about this tool, then leave your own rating to help improve CalculioHub.
4.8
out of 5.0
4 reviews
Daniel R.
Feb 28, 2026
Very usable on mobile. Would love a save/export option later, but the math feels solid.
Priya S.
Feb 3, 2026
The FAQ section answered my questions before I even had to search. Smooth dark mode too.
Marcus L.
Jan 19, 2026
Simple inputs, clear outputs. This replaced three bookmarks I used to juggle.
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