Work out one sample t test instantly with clear inputs, formula shown and shareable results.
The one-sample t-test compares a sample mean to a hypothesised value, dividing the difference by the standard error s/√n. The result is compared against the t distribution on n − 1 degrees of freedom.
One-sample t
t = (x̄ − μ₀) / (s/√n), df = n − 1
The standard error is 0.96, so t = 2.3958 on 24 df, giving p ≈ 0.0247 — significant at 5%.
The probability of seeing a difference this large or larger if the null hypothesis were true.