The more that the sample standard deviation $s$ differs from the hypothesized value $\sigma_{0}$, the more likely that the null hypothesis
A) $\sigma_{1}=\sigma_{2}$ can be rejected.
B) $\sigma_{1}=\sigma_{2}$ cannot be rejected.
C) $\sigma=\sigma_{0}$ can be rejected.
D) $\sigma=\sigma_{0}$ cannot be rejected.

Question

Quizplus · Accepted Answer

The sample standard deviation $s$ being significantly different from the hypothesized population standard deviation $\sigma_{0}$ suggests that the null hypothesis stating $\sigma=\sigma_{0}$ can be rejected, as it indicates a discrepancy between the observed data and what was hypothesized.

The More That the Sample Standard Deviation sss Differs from the Hypothesized Value

The More That the Sample Standard Deviation $s$ Differs from the Hypothesized Value