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Running equivalence & non-inferiority (tost) analysis...
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Analyze another fileThe practical guide behind this tool: when it applies, how to read the output, and the traps that make it say the wrong thing.
Standard-library analysis: are these two things practically the SAME within a margin? A standard t-test can never prove sameness — 'not significantly different' may just mean too little data. This tool runs the classical two one-sided tests (TOST): the mean difference with its 90% (TOST-consistent) and 95% confidence intervals plotted against your equivalence margin band, both one-sided tests spelled out, the standard t-test alongside for contrast, and a one-sided non-inferiority variant when only a deficit would matter. Supply a margin in your outcome's units, or let the tool use a clearly-labeled default of 0.2 x pooled SD.
Interactive bar visualization
Interactive table visualization
Interactive table visualization
Interactive table visualization
Plain-English interpretation of what the numbers mean, what's significant, and what to do next.
Show a cheaper process, supplier, or formulation performs practically the same as the current one
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
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