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8. Tests of Hypotheses  401

                           among the three tests under investigation, the Test #3 has the maximum power
                           at each point θ > 5.5.





















                                    Figure 8.2.1. Power Functions for Tests #1, #2 and #3
                              We may add that the respective power at the point θ = 8 is given by Q (8)
                                                                                        1
                           = .80375, Q (8) = .9996, and Q (8) = 1.0. !
                                     2                3
                           8.3    Simple Null Versus Simple Alternative
                                  Hypotheses


                           Here we elaborate the derivation of the MP level a test to choose between a
                           simple null hypothesis H  and a simple alternative hypothesis H . We first
                                                0
                                                                                   1
                           prove the celebrated Neyman-Pearson Lemma which was originally formu-
                           lated and proved by Neyman and Pearson (1933a).

                           8.3.1   Most Powerful Test via the Neyman-Pearson Lemma

                           Suppose that X , ..., X  are iid real valued random variables with the pmf or
                                             n
                                        1
                           pdf f(x; θ), θ ∈ Θ ⊆ ℜ. Let us continue to write X = (X , ..., X ), X = (x , ...,
                                                                          1
                                                                                n
                                                                                        1
                           x ). The likelihood function is denoted by L(X; θ) when θ is the true value. We
                            n
                           wish to test
                           where θ  ≠ θ  but both θ , θ  ∈ Θ, the parameter space. Under H  : θ = θ , the
                                                                                 i
                                                                                       i
                                  0
                                     1
                                                  1
                                               0
                           data x has its likelihood function given by L(X; θ ), i = 0, 1.
                                                                     i
                              Let us focus our attention on comparing the powers associated with all
                           level a tests where 0 < α < 1 is preassigned. Customarily the number α
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