91Ó°ÊÓ

A type I error consists of rejecting the null hypothesis H₀ when it is true.

A type II error involves not rejecting H₀ when it is false.

A test statistic is a function of the sample data used as a basis for deciding whether H₀ should be rejected. The selected test statistic should discriminate effectively between the two hypotheses. That is, values of the statistic that tend to result when H₀ is true should be quite different from those typically observed when H₀ is not true.

Before stating the relevant hypotheses, denote with \({\mu _1}\) the average for the regular laminate, and with \({\mu _2}\) the average for the special laminate.

The relevant hypotheses are \({H_0}:{\mu _1} = {\mu _2}\)versus \({H_a}:{\mu _1} > {\mu _2}\).

The type I error is to conclude that the war page for special laminate is less than the regular laminate when it is not.

The type II error is to conclude that there is no difference in the laminates when the special laminate produces less war page.