Which of the following represents the ratio of variances?
A) $\frac { \mu _ { 1 } } { \mu _ { 2 } }$
B) $\frac { p _ { 1 } } { p _ { 2 } }$
C) $p _ { 1 } - p _ { 2 }$
D) $\frac { \sigma _ { 1 } ^ { 2 } } { \sigma _ { 2 } ^ { 2 } }$

Question

Which of the following represents the ratio of variances? 
A) $\frac { \mu _ { 1 } } { \mu _ { 2 } }$
B) $\frac { p _ { 1 } } { p _ { 2 } }$
C) $p _ { 1 } - p _ { 2 }$
D) $\frac { \sigma _ { 1 } ^ { 2 } } { \sigma _ { 2 } ^ { 2 } }$

Quizplus · Accepted Answer

The ratio of variances is represented by $\frac { \sigma _ { 1 } ^ { 2 } } { \sigma _ { 2 } ^ { 2 } }$, where $\sigma _ { 1 } ^ { 2 }$ and $\sigma _ { 2 } ^ { 2 }$ are the variances of two different datasets.

Which of the Following Represents the Ratio of Variances μ1μ2\frac { \mu _ { 1 } } { \mu _ { 2 } }μ2​μ1​​

Which of the Following Represents the Ratio of Variances $\frac { \mu _ { 1 } } { \mu _ { 2 } }$