Home Knowledge Base Equivalency Testing

Equivalency Testing is the statistical validation methodology that proves a new tool, material, or process variant produces output that is statistically indistinguishable from the established reference (Process of Record) — using matched-pair experimental designs and hypothesis testing (t-tests for means, F-tests for variances) to generate quantitative evidence that the null hypothesis of equivalence cannot be rejected, enabling confident fan-out of production across multiple tools without introducing systematic variation.

What Is Equivalency Testing?

Why Equivalency Testing Matters

Statistical Framework

TestPurposePassing Criterion
Paired t-testCompare means (reference vs. candidate)p-value > 0.05 (no significant mean difference)
F-testCompare variances (reference vs. candidate)p-value > 0.05 (no significant variance difference)
Equivalence test (TOST)Prove equivalence within practical bounds90% confidence interval within ±δ
Cpk comparisonCompare process capabilityCandidate Cpk ≥ Reference Cpk

Equivalency Testing is cloning verification — the statistical proof that every copy of a tool, material, or process behaves identically to the master, ensuring that volume manufacturing at scale does not sacrifice the precision achieved during single-tool development.

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