In the sign test, if H ₀ is false, then P _real _________. A) equals 0.05 B) equals 0.50 C) equals 1 - 0.05 D) does not equal 0.50

Question

Quizplus · Accepted Answer

The sign test is a non-parametric test used to determine if there are more positive differences than negative differences or vice versa in a paired sample data set. If the null hypothesis (H0) is false, it means there is a significant difference, but this does not specify what the p-value is, except that it is not consistent with the null hypothesis of no difference (which would suggest a p-value around 0.50 under the null). Therefore, the correct interpretation is that the p-value does not equal 0.50, indicating a significant difference from what would be expected under the null hypothesis of no effect or no difference.

In the Sign Test, If H 0 Is False, Then

In the Sign Test, If H ₀ Is False, Then