Chi-Square Test for Genetic Ratios Calculator
Test observed offspring counts against an expected Mendelian ratio (3:1, 1:2:1, 9:3:3:1, 1:1 or custom) — χ², degrees of freedom and p-value.
How it works
χ² = Σ (O − E)² ÷ E, E = total × ratio share; df = classes − 1
A goodness-of-fit chi-square asks whether the gap between observed and Mendelian-expected counts is bigger than chance sampling would produce. A high p-value (above 0.05) means the hypothesis survives; it never proves the ratio. Mendel’s own pea data — 315:108:101:32 — fit 9:3:3:1 with χ² = 0.47.
Worked example
315, 108, 101, 32 against 9:3:3:1 (n = 556): expected 312.75, 104.25, 104.25, 34.75 → χ² = 0.470, df 3, p = 0.93.
Frequently asked questions
What does rejecting the ratio mean biologically?
Linkage, lethal genotypes, epistasis (e.g. 9:7 or 12:3:1), incomplete penetrance or simply misclassification.
Can I use it with small samples?
Expected counts should be at least 5 in every class; otherwise use an exact binomial or multinomial test.
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For teaching and planning — verify against your lab protocol and instrument documentation.