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

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Which of the following best describes the p-value of a test? AThe p-value is the probability of getting our statistical table value of the test statistic if the null hypothesized value of the population parameter, were really true. BThe p-value is the probability of getting our cal culated test statistic or more extreme if the  null hypothesized value of the population parameter, were really true.C The p-value is the probability of getting our calculated test statistic, or more extreme, if the null hypothesized value of the population parameter, were really false. DNone of these choices are correct. \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}


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