Finding a large-sample confidence interval for $\sigma$ requires the use of the normal distribution, whereas finding a small-sample confidence interval for $\sigma$ requires the use of $t$ distribution.

Question

Quizplus · Accepted Answer

A large-sample confidence interval for $\sigma$ typically uses the chi-square distribution, not the normal distribution, and a small-sample confidence interval for $\sigma$ also uses the chi-square distribution, not the $t$ distribution.

Finding a Large-Sample Confidence Interval For σ\sigmaσ Requires the Use of the Normal Distribution, Whereas Finding a of the Normal

Finding a Large-Sample Confidence Interval For $\sigma$ Requires the Use of the Normal Distribution, Whereas Finding a of the Normal