Which of the following best describes the p-value of a test? $\begin{array}{|l|l|}
\hline A&\text {The $ p $-value is the probability of getting our statistical table value of the test statistic if }\&\text {the null hypothesized value of the population parameter, were really true. }\
\hline B&\text {The p-value is the probability of getting our cal culated test statistic or more extreme if the }\&\text { null hypothesized value of the population parameter, were really true.}\
\hline C&\text { The p-value is the probability of getting our calculated test statistic, or more extreme, if }\&\text {the null hypothesized value of the population parameter, were really false. }\
\hline D&\text {None of these choices are correct. }\
\hline
\end{array}$

Question

Which of the following best describes the p-value of a test? $\begin{array}{|l|l|}
\hline  A&\text {The $ p $-value is the probability of getting our statistical table value of the test statistic if  }\&\text {the null hypothesized value of the population parameter, were really true. }\
\hline  B&\text {The p-value is the probability of getting our cal culated test statistic or more extreme if the  }\&\text { null hypothesized value of the population parameter, were really true.}\
\hline  C&\text { The p-value is the probability of getting our calculated test statistic, or more extreme, if }\&\text {the null hypothesized value of the population parameter, were really false. }\
\hline  D&\text {None of these choices are correct. }\
\hline 
\end{array}$

Quizplus · Accepted Answer

The Answer of Which of the following best describes the p-value of a test? $\begin{array}{|l|l|}
\hline  A&\text {The $ p $-value is the probability of getting our statistical table value of the test statistic if  }\&\text {the null hypothesized value of the population parameter, were really true. }\
\hline  B&\text {The p-value is the probability of getting our cal culated test statistic or more extreme if the  }\&\text { null hypothesized value of the population parameter, were really true.}\
\hline  C&\text { The p-value is the probability of getting our calculated test statistic, or more extreme, if }\&\text {the null hypothesized value of the population parameter, were really false. }\
\hline  D&\text {None of these choices are correct. }\
\hline 
\end{array}$

Which of the Following Best Describes the P-Value of a Test