Type II Error Calculator

Type II Error Calculator: run type ii error calculations online. Formula, assumptions, and interpretation guide.

Common test statistics

One-sample t-test: t = (x̄ − μ₀) / (s / √n), degrees of freedom = n−1

Two-sample t-test: t = (x̄₁ − x̄₂) / √(s₁²/n₁ + s₂²/n₂)

One-proportion z-test: z = (p̂ − p₀) / √(p₀(1−p₀)/n)

Decision rule: reject H₀ if |t| or |z| exceeds the critical value for chosen α and degrees of freedom.