A/B Test Significance Calculator
Z-score for a two-variant conversion test
🔒 In-browser · Method · · Disclaimer · A/B Test Significance Calculator
A/B Test Significance Calculator turns the numbers behind z-score for a two-variant conversion test into a result, step by step. Just enter Variant A Visitors, Variant A Conversions and Variant B Visitors; A/B Test Significance updates the result as you type. Every A/B Test Significance answer can be reproduced by hand. A/B Test Significance works for one check or many. No sign-up is needed for A/B Test Significance. The math runs on your device. A/B Test Significance is part of the Business collection on CalcProMaster, alongside ab test significance calculator z score conversion split test, free online a/b test significance calculator and more. Keep A/B Test Significance bookmarked for next time. Open A/B Test Significance and enter your numbers.
What does the A/B Test Significance Calculator do?
A/B Test Significance Calculator works out the z-score from the Variant A Visitors, Variant A Conversions, and Variant B Visitors, using Business conventions. With the defaults, a/b test significance calculator gives a z-score of z = 1.44 (not significant).
- Inputs: Variant A Visitors, Variant A Conversions, and Variant B Visitors.
- Output: the z-score, alongside the figures it was derived from.
- Method: the Business relationship between Variant A Visitors, Variant A Conversions, and Variant B Visitors and the z-score, evaluated in order.
Quick answer
a/b test significance calculator returns a z-score of z = 1.44 (not significant) with the default inputs (variant a visitors of 1,000, variant a conversions of 50, variant b visitors of 1,000).
How does the A/B Test Significance Calculator work?
A/B Test Significance Calculator computes the z-score directly from your inputs — the Variant A Visitors, Variant A Conversions, and Variant B Visitors feed the formula. No request leaves the page: the z-score is computed locally and stays available offline.
How it works
This page is a working a/b test significance calculator: enter your values, read the z-score, and follow the step list to see exactly how the answer was derived.
Using the A/B Test Significance Calculator
- Variant A Visitors — independent among the a/b test significance fields — changing it alone moves the result.
- Variant A Conversions — used once on a/b test significance, and worth a second glance if the figure looks off.
- Variant B Visitors — the Business field that most often arrives from another document; re-check its scale.
- Compare the z-score from A/B Test Significance Calculator with the figures above it; the intermediate values are where a wrong unit usually shows up first.
- Switch one field at a time in A/B Test Significance Calculator and note the change each time; that short list of movements is a sensitivity check you can explain.
The formula behind the result
Full precision is carried through the a/b test significance computation; only the printed result is rounded, and the step list shows the unrounded trail.
Worked example: with variant a visitors of 1,000, variant a conversions of 50, variant b visitors of 1,000, this a/b test significance calculation returns z = 1.44 (not significant). The same run reports A converts 5.00%, B 6.50% | Stop tests at the planned sample size — peeking early inflates false positives.
The steps it follows:
- Rates — A: 5.00%, B: 6.50%
- Pooled p = 115 ÷ 2000 = 0.0575
- SE = √(p(1−p)(1/nA+1/nB)) = 0.01041
- z = (pB − pA) ÷ SE = 1.441 — |z| ≥ 1.96 means 95% confidence
Understanding the result
On A/B Test Significance Calculator the z-score is one line of a longer answer: the figures below it say what fed the number and how far it can be trusted.
Where it helps
Students, planners, and professionals reach for A/B Test Significance Calculator for deciding between two quotes, lining up two options, and working the same calculation a different way, and for sanity-checking numbers that arrived from somewhere else.
Common mistakes
Changing two inputs at once on the a/b test significance page makes a surprising output impossible to explain; one change per run keeps the cause visible.
Tip: A/B Test Significance Calculator returns z = 1.44 (not significant) at its defaults; double the Variant A Visitors and it returns z = 5.38 (significant at 95%).
Assumptions and limitations
The output A/B Test Significance Calculator reports is only as complete as the inputs: anything the page does not ask for sits outside the calculation.
Why use this calculator
Because a wrong answer is easy to catch: the steps on the a/b test significance page show where a mistyped value entered the result, which a bare result never reveals.
Frequently Asked Questions
What does a/b test significance calculator work out?
A/B Test Significance Calculator keeps the whole calculation in front of you — the Variant A Visitors, Variant A Conversions, and Variant B Visitors, the formula, the intermediate steps, and a worked example you can reproduce line by line. Because the Business conventions are stated rather than assumed, A/B Test Significance Calculator removes the guesswork about which method produced the result.
How does A/B Test Significance Calculator arrive at its answer?
The first steps are rates — a: 5.00%, b: 6.50%, then pooled p = 115 ÷ 2000 = 0.0575. A/B Test Significance Calculator treats the formula as a sequence rather than a black box — every operator is printed with the values it consumed on the way to the output.
What does A/B Test Significance Calculator require before it returns a number?
Just Variant A Visitors, Variant A Conversions, and Variant B Visitors; A/B Test Significance Calculator reads them directly and computes the z-score in the browser.
What changes when the Variant A Visitors doubles?
At the defaults A/B Test Significance Calculator returns z = 1.44 (not significant); doubling Variant A Visitors to 2,000 moves it to z = 5.38 (significant at 95%).
What is the this tool number actually saying?
The main number the a/b test significance calculator returns is the z-score for your exact inputs. Rounding, regional convention, and local rules sit outside A/B Test Significance Calculator: the page applies the method as documented, and the figure inherits whatever the inputs leave out.
What is the A/B Test Significance Calculator best used for?
A/B Test Significance Calculator fits planning and checking: deciding between two quotes, lining up two options, and working the same calculation a different way, or any moment when the figure needs to be right the first time. Bookmark the a/b test significance page with your usual numbers in the URL and every later check starts from a real case instead of the defaults.
Influencer Sponsorship Rate Calculator and other Business tools
Influencer Sponsorship Rate Calculator · Profit Margin Calculator · MRR Calculator · Depreciation Calculator · Working Capital Calculator · Subscription LTV Calculator · Business Guides