In Practice, the Standard Error of the Difference Between Means$\sqrt { \left. \frac { \left( \sigma _ { 1 } \right) ^ { 2 } } { n _ { 1 } } + \frac { ( \sigma } { n _ { 2 } } \right) ^ { 2 } }$

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The Answer of In Practice, the Standard Error of the Difference Between Means$\sqrt { \left. \frac { \left( \sigma _ { 1 } \right) ^ { 2 } } { n _ { 1 } } + \frac { ( \sigma } { n _ { 2 } } \right) ^ { 2 } }$

In Practice, the Standard Error of the Difference Between Means $\sqrt { \left. \frac { \left( \sigma _ { 1 } \right) ^ { 2 } } { n _ { 1 } } + \frac { ( \sigma } { n _ { 2 } } \right) ^ { 2 } }$

Definitions:

In Practice, the Standard Error of the Difference Between Means (σ1)2n1+(σn2)2\sqrt { \left. \frac { \left( \sigma _ { 1 } \right) ^ { 2 } } { n _ { 1 } } + \frac { ( \sigma } { n _ { 2 } } \right) ^ { 2 } }n1​(σ1​)2​+n2​(σ​)2​

Definitions:

In Practice, the Standard Error of the Difference Between Means $\sqrt { \left. \frac { \left( \sigma _ { 1 } \right) ^ { 2 } } { n _ { 1 } } + \frac { ( \sigma } { n _ { 2 } } \right) ^ { 2 } }$