A/B Testing Significance Calculator

Evaluate split-test statistical viability

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About A/B Testing Significance Calculator

This A/B Testing calculator runs a two-proportion Z-test to evaluate split-test results. By providing the traffic volume and conversion numbers for two distinct groups, it calculates the Conversion Rate (CR), relative uplift, standard error, Z-score, and exact P-value to determine if the results are statistically significant against the null hypothesis.

A/B Testing Significance Calculator Features

  • Calculates P-Value and Z-Scores
  • Adjustable Confidence Levels (90%, 95%, 99%)
  • Clear interpretation of 'Significant' vs 'Not Significant'

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