I read an article about a new drug which stated that "the incidence of side effects was similar to placebo, Pvalue > 0.05." I want to know if the results are significant at α = 10%. With the information given,
A. I will reject the null hypothesis of no difference at 10%.
B. I will not reject the null hypothesis of no difference at 10%.
C. There is not enough information given.
A. I will reject the null hypothesis of no difference at 10%.
B. I will not reject the null hypothesis of no difference at 10%.
C. There is not enough information given.

The answer depends on whether or not you are focusing on something that is inside or outside of the distribution curve that you are looking at. Basically, if you are looking for obscurities, or things that should not happen, then you would say, that the answer is A.
However, if you are trying to show that certain things are obscure and are only rare occurrences, then you would say B.
The Pvalue already takes into account both sides of a distribution graph where each side = 2.5%, so you can pretty much enjoy the third answer.
However, if you are trying to show that certain things are obscure and are only rare occurrences, then you would say B.
The Pvalue already takes into account both sides of a distribution graph where each side = 2.5%, so you can pretty much enjoy the third answer.