The sample variance $s ^ { 2 }$ is an unbiased estimator of the population variance $\sigma ^ { 2 }$ when the denominator of $s ^ { 2 }$ is: $\begin{array}{|l|l|}
\hline\text { A. } & n . \
\hline \text { B. } & n-1 \
\hline \text { C. } & \sqrt{n } \
\hline \text { D. } & n+1 \
\hline
\end{array}$

Question

The sample variance $s ^ { 2 }$ is an unbiased estimator of the population variance $\sigma ^ { 2 }$ when the denominator of $s ^ { 2 }$ is: $\begin{array}{|l|l|}
\hline\text { A. } & n . \
\hline \text { B. } & n-1 \
\hline \text { C. } & \sqrt{n }  \
\hline \text { D. } & n+1 \
\hline
\end{array}$

Quizplus · Accepted Answer

The Answer of The sample variance $s ^ { 2 }$ is an unbiased estimator of the population variance $\sigma ^ { 2 }$ when the denominator of $s ^ { 2 }$ is: $\begin{array}{|l|l|}
\hline\text { A. } & n . \
\hline \text { B. } & n-1 \
\hline \text { C. } & \sqrt{n }  \
\hline \text { D. } & n+1 \
\hline
\end{array}$

The Sample Variance s2s ^ { 2 }s2 Is an Unbiased Estimator of the Population Variance

The Sample Variance $s ^ { 2 }$ Is an Unbiased Estimator of the Population Variance