The p -value is defined as follows: A) p=0.05 . B) $\operatorname { Pr } _ { H _ { n } } \left[ \left| \bar { Y } - \mu _ { Y , 0 } \right| \left| \bar { Y } ^ { a c t } - \mu _ { Y , 0 } \right| \right] .$ C) $\operatorname { Pr } ( z 1.96 )$ D) $\operatorname { Pr } _ { H _ { 0 } } \left[ \left| \bar { Y } - \mu _ { Y , 0 } \right|

Question

The  p -value is defined as follows:
A)  p=0.05 .
B) $\operatorname { Pr } _ { H _ { n } } \left[ \left| \bar { Y } - \mu _ { Y , 0 } \right| > \left| \bar { Y } ^ { a c t } - \mu _ { Y , 0 } \right| \right] .$
C) $\operatorname { Pr } ( z > 1.96 )$
D) $\operatorname { Pr } _ { H _ { 0 } } \left[ \left| \bar { Y } - \mu _ { Y , 0 } \right| < \bar { Y } ^ { \text {act } } - \mu _ { Y , 0 } \mid \right] . .$

Quizplus · Accepted Answer

p-value is the probability of observing a test statistic as extreme as, or more extreme than, the one that was actually observed, assuming that the null hypothesis is true.

The P -Value Is Defined as Follows: A) C) Pr⁡(z>1.96)\operatorname { Pr } ( z > 1.96 )Pr(z>1.96)

The P -Value Is Defined as Follows:
A) C) $\operatorname { Pr } ( z > 1.96 )$