#### 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%.