Reposting a question for @social:
A researcher is designing a research study. He hopes to show that the results of an experiment are statistically significant. What size of p value would take?

a) Large value of p
b) Small value of p
c) The size of the p value does not affect the statistical significance

I believe the correct answer is b. What do you believe?

Question

Reposting a question for @social:
A researcher is designing a research study. He hopes to show that the results of an experiment are statistically significant. What size of p value would take? 

a) Large value of p 
b) Small value of p 
c) The size of the p value does not affect the statistical significance 

I believe the correct answer is b. What do you believe?

anonymous · Answer

why cant anyone else answer?

anonymous · Answer

lol jk

anonymous · Answer

i think it is b tho

anonymous · Answer

Sorry, I meant that @social is having technical difficulties and cannot post the question for him/herself.

anonymous · Answer

oh ok lol well i think it is b anyway

anonymous · Answer

Can you say why? I'm sure @social will appreciate it.

mertsj · Answer

.

In most sciences, results yielding a p-value of .05 are considered on the borderline of statistical significance. If the p-value is under .01, results are considered statistically significant and if it's below .005 they are considered highly statistically significant.

mertsj · Answer

Now tell us..why couldn't you google that for yourself?

anonymous · Answer

I suppose the person could have and was just checking to make sure he/she understood correctly. That was my understanding since the answer was given and the question was if others agree.

anonymous · Answer

@gypsy1274  Thank you soooooooooo much you helped me a lot..

Thank you all of you; I appreciate your help and I really love this community. This is fantastic.  Like you study in the library with colleagues.

As for @Mertsj  Do you believe somebody is asking here before studied? I do not think so.  Nevertheless if you read the literature you gonna find out that there is a big confussion around p value and not only from researchers but even from famous academics/researchers (Kline, 2004; APA, 2001; Wilkinson and Task Force on Statistical Inference, 1999; Loftus 1996; Pollard, 1993; Cohen, 1990).  
Concluding I want to please some members of the community to stop trying to do the smarts here or the policemen.  I f you want to help just help, otherwise do not loose your time answering.

Thank you again colleagues!!

King Regards