5% vs 10% significance level

sak

New Member
#1
For hypothesis testing which one is considered stricter 5% significance level or 10% significance level.

I know its a very basic question but it is bothering me.

Thanks
 

Dason

Ambassador to the humans
#3
10% is a little more lenient when it comes to the curfew. There is no way you're staying out past curfew with 5% though - it's much more strict.
 

sak

New Member
#6
So, in 1 sample t-test, where null is that mean of sample is zero, I would think a high p-value like 0.30 would imply that null can't be rejected at 5% significance level. However, p-value of 0.012 would imply null will be rejected at 5% significance level but not at 1% significance level.

So, I am confused that 1% being stricter gives low p-value even though high p-value is consider to give us more confidence. Can you guys please explain.

Thanks