# 5% vs 10% significance level

#### sak

##### New Member
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

#### Mean Joe

##### TS Contributor
A test could reject the null at the 10% level, but not at the 5% level. So we see that the 5% level is stricter.

#### Dason

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.

#### trinker

##### ggplot2orBust
Depends on what you're null and alternative are Dason

#### noetsi

##### Fortran must die
5 percent is harder to satisfy in terms of rejecting the null, if that is what is meant by strict.

#### sak

##### New Member
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