The t-statistic is defined as follows:
A) $t = \frac { \frac { \bar { Y } - \mu _ { y , \mathrm { D } } } { \sigma _ { y } ^ { 2 } } } { n }$
B) $t = \frac { \bar { Y } - \mu _ { \gamma , \mathrm { D } } } { S E [ \bar { Y } ) }$
C) $t = \frac { \left( \bar { Y } - \mu _ { \gamma , 0 } \right) ^ { 2 } } { S E [ \bar { Y } ) }$
D)1.96.

Question

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The Answer of The t-statistic is defined as follows:
A) $t = \frac { \frac { \bar { Y } - \mu _ { y , \mathrm { D } } } { \sigma _ { y } ^ { 2 } } } { n }$
B) $t = \frac { \bar { Y } - \mu _ { \gamma , \mathrm { D } } } { S E [ \bar { Y } ) }$
C) $t = \frac { \left( \bar { Y } - \mu _ { \gamma , 0 } \right) ^ { 2 } } { S E [ \bar { Y } ) }$
D)1.96.

The T-Statistic Is Defined as Follows: A) t=Yˉ−μy,Dσy2nt = \frac { \frac { \bar { Y } - \mu _ { y , \mathrm { D } } } { \sigma _ { y } ^ { 2 } } } { n }t=nσy2​Yˉ−μy,D​​​

The T-Statistic Is Defined as Follows:
A) $t = \frac { \frac { \bar { Y } - \mu _ { y , \mathrm { D } } } { \sigma _ { y } ^ { 2 } } } { n }$