Which of the following statements are true?
A) When the results of an experiment are to be communicated to a large audience, rejection of $H _ { o }$
At level $\alpha$
Will be much more convincing if the observed value of the test statistic greatly exceeds the $\alpha \%$
Critical value than if it barely exceeds that value.
B) A large P-value would indicate statistical significance in that it would strongly suggest rejection of $H _ { o } \text { in favor of } H _ { \pm }$
C) In many experimental situations, only departures from $H _ { o }$
Of small magnitude would be worthy of detection, whereas a large departure from $H _ { o }$
Would have little practical significance.
D) All of the above statements are true.
E) None of the above statements are true.

Question

Quizplus · Accepted Answer

A) This statement is true because when the observed value of the test statistic significantly exceeds the critical value, it indicates a stronger evidence against the null hypothesis $H_0$, making the result more convincing to the audience. B) is incorrect because a large P-value actually indicates that there is not enough evidence to reject the null hypothesis, not the opposite. C) is incorrect because typically, both small and large departures from $H_0$ can have practical significance, depending on the context of the experiment.

Which of the Following Statements Are True? A) When the Results

Which of the Following Statements Are True?
A) When the Results