The formula for the sample variance is
A) $S _ { y } ^ { 2 } = \frac { 1 } { n - 1 } \sum _ { i = 1 } ^ { n } \left( Y _ { i } - \bar { Y } \right)$
B) $S _ { y } ^ { 2 } = \frac { 1 } { n - 1 } \sum _ { i = 1 } ^ { n } \left( Y _ { i} - \bar { Y } \right) ^ { 2 }$
C) $S _ { y } ^ { 2 } = \frac { 1 } { n - 1 } \sum _ { i = 1 } ^ { n } \left( Y _ { i } - { } ^ { \mu } Y \right) ^ { 2 }$
D) $S _ { y } ^ { 2 } = \frac { 1 } { n - 1 } \sum _ { i = 1 } ^ { n - 1 } \left( Y _ {i } - \bar { Y } \right) ^ { 2 }$

Question

Quizplus · Accepted Answer

The sample variance formula is $S _ { y } ^ { 2 } = \frac { 1 } { n - 1 } \sum _ { i = 1 } ^ { n } \left( Y _ { i} - \bar { Y } \right) ^ { 2 }$, which calculates the average of the squared deviations from the sample mean.

The Formula for the Sample Variance Is A) Sy2=1n−1∑i=1n(Yi−Yˉ)S _ { y } ^ { 2 } = \frac { 1 } { n - 1 } \sum _ { i = 1 } ^ { n } \left( Y _ { i } - \bar { Y } \right)Sy2​=n−11​∑i=1n​(Yi​−Yˉ)

The Formula for the Sample Variance Is
A) $S _ { y } ^ { 2 } = \frac { 1 } { n - 1 } \sum _ { i = 1 } ^ { n } \left( Y _ { i } - \bar { Y } \right)$