GIFSQ Tools · Module 12 — Sensory · Tool 224 of 500
Analyse a triangle test: the exact one-sided binomial p-value against the 1-in-3 guessing chance, and the minimum correct count for significance at α = 0.05.
Try sample values — fills the form with the worked example below.
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p-value
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Minimum correct (α = 0.05)
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Expected by chance
Equation: p = Σ C(n,k)(1/3)^k(2/3)^(n−k) for k = correct … n; critical value = smallest correct count with p ≤ 0.05.
Method: ISO 4120:2021 triangle test; exact binomial test with guessing probability p = 1/3.
Assumptions: Each assessor picks the odd sample once; responses are independent; no learning or order effect.
Limitations: A significant result shows a perceivable difference, not how large it is; a non-significant result does not prove sameness.
Rounding: p-value to 4 decimal places; critical value is a whole number; intermediates unrounded.
This is a calculation aid, not a laboratory report — confirm against your accredited method before citing a value.
Method: ISO 4120:2021 triangle test; exact binomial test with guessing probability p = 1/3.
Assumptions: Each assessor picks the odd sample once; responses are independent; no learning or order effect.
Limitations: A significant result shows a perceivable difference, not how large it is; a non-significant result does not prove sameness.
Rounding: p-value to 4 decimal places; critical value is a whole number; intermediates unrounded.
This is a calculation aid, not a laboratory report — confirm against your accredited method before citing a value.
Worked example: 12 assessors, 8 correct: p = 0.0188, minimum correct 8, expected by chance 4.00 — significant at α = 0.05.
Enter values above to see results.
Tool 224 of 500 — GIFSQ
