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A/B-Test Signifikanz-Rechner — Kostenloses Online-Tool

Ist dein A/B-Test-Ergebnis statistisch signifikant?

Berechne statistische Signifikanz von A/B-Tests. P-Wert, Konfidenzintervalle, benötigte Stichprobengröße. Für Marketer und Produktteams.

🅰️ Control (A)

🅱️ Variant (B)

A conversion rate
0.00%
B conversion rate
0.00%
Uplift (relative)
0%
P-value
—
Enter numbers to see verdict
📚
Mehr erfahren

Free A/B test significance calculator — z-test for conversions

Calculate if your A/B test result is statistically significant. Two-proportion z-test with pooled variance. See p-value, confidence intervals, and clear verdict.

How to use this tool

  1. 1

    Enter visitors + conversions

    For both control (A) and variant (B): how many visitors and how many converted.

  2. 2

    Check significance

    See conversion rates, uplift %, p-value, confidence interval, statistical significance.

  3. 3

    Interpret result

    p < 0.05 = statistically significant. 95%+ confidence means the result isn't random noise.

Interpretation guide

  • p < 0.01: very strong evidence against null (99%+ confidence)
  • p < 0.05: standard "significant" threshold (95% confidence)
  • p < 0.10: weak evidence — don\'t call it significant
  • p ≥ 0.10: no significant difference detected

Frequently Asked Questions

What is statistical significance?
The probability that your observed difference is NOT random chance. p < 0.05 = less than 5% chance the difference is random — typically the threshold to consider a test "significant".
What sample size do I need?
Depends on your baseline conversion rate + minimum detectable effect. Rough rule: 1,000-10,000 per variant for typical web A/B tests. Low conversion rates (1%) need more samples; high rates (20%) need fewer.
What if my test is "not significant"?
Three options: (1) Run longer until sample size is adequate — but don't peek and stop early. (2) Accept the null hypothesis — the variants perform equally. (3) Bigger change next time — tiny differences need enormous samples to detect.
Z-test vs t-test vs chi-square?
For proportions (conversion rates), z-test with pooled variance is standard and what we use. For continuous metrics (revenue per visitor), t-test is more appropriate. This tool focuses on conversion-rate tests.
What's confidence interval?
The range where the true difference likely falls. "B is 15% better (CI: 8% to 22%)" means the real uplift is probably between 8-22% — we just don't know exactly where.

Wichtigste Punkte

  • A/B Test Significance Rechner is a free, browser-based calculator tool — is your a/b test result statistically significant?.
  • Nein signup, no downloads, no file uploads. Tools run in your browser; the few that need an outside service say so on the page.
  • Works on desktop, tablet, and mobile. Install as a PWA for offline access.

How to Use A/B Test Significance Rechner

  1. Open the tool: Launch A/B Test Significance Rechner on Toololis — no account or download needed.
  2. Enter your data: Paste text, enter values, or select a file directly in your browser.
  3. Get instant results: Everything is processed locally — results appear immediately.
  4. Copy or download: Save your output or share it. Bookmark for quick access next time.

A/B Test Significance Rechner — Quick Facts

Preis
Kostenlos — keine Limits, kein Wasserzeichen, keine Paywall
Privatsphäre
Wird im Browser verarbeitet. Tools, die einen externen Dienst brauchen, sagen das auf der Seite. Seitenaufrufe werden gezählt (Google Analytics).
Plattform
Jeder moderne Browser — Desktop, Tablet, Mobil
Kategorie
Rechner Tools on Toololis
Offline
Works offline after first visit (Progressive Web App)
MerkmalDetails
ToolA/B Test Significance Rechner
KategorieRechner
Anmeldung nötigNein
Datei-UploadKeine — wird im Browser verarbeitet
Mobile-UnterstützungVoll responsive
KostenFür immer kostenlos

Why Use A/B Test Significance Rechner?

You should try A/B Test Significance Rechner for a quick, private way to is your a/b test result statistically significant?. Processing happens in your browser and files are never uploaded; the few tools that need an outside service say so on the page.

On the other hand, dedicated APIs or desktop tools suit batch processing better. They also handle server-side automation. For everyday tasks, browser tools offer the best speed, privacy, and convenience.

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100% Privatsphäre. Dieses Tool läuft komplett in deinem Browser. Deine Daten werden niemals auf einen Server hochgeladen.