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Upload your data and get a complete equivalence & non-inferiority (tost) report. Free.
The 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 reading of the results and what to do next.
Show a cheaper process, supplier, or formulation performs practically the same as the current one
See our FAQ for pricing, privacy and how the analysis works.
MCP Analytics. Equivalence & Non-Inferiority (TOST). Free tool. https://mcpanalytics.ai/free/standard_equivalence. Accessed [date you used it].
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