



 
An alpha level is the probability of making a Type I error (rejecting the null hypothesis when the null hypothesis is true) in statistics. The advantage of 0.01 alpha level over a 0.05 alpha level is there is less of a chance you made a Type I error. You usually are able to use an alpha level of 0.01 when you have a very large sample size or where a Type I error has very serious consequences. Hope this helps,  


Math Central is supported by the University of Regina and The Pacific Institute for the Mathematical Sciences. 