Level of significance
The level of significance of a test of hypothesis is the probability of
rejecting the Ho when it is true. This probability is known as alpha, and it
is called a Type I error.
The smaller the value of alpha the better since the chances of making a
mistake by rejecting a true null are minimized. The significance level is set
in practice to levels of 1% to 10%.