STAT330 Lecture 35: Lecture 35
29 Jan 2019
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Document Summary
Iie ) is pd (2) hypothesis testing : ho : o - I based on the observed large value of the observed. Z t cx ) ] then small p - p-value. C i. e . p-value is small enough strong enough against ho ) , xn ) specifies where hypothesis the is dist called of the. ,xn ) free ( x of of is is ) ) live . the dist parameter hypothesis sample if it any. Of i simple null hypothesis a composite alternative hypothesis (2) Ha into a as composite still o is null hypothesis unknown a composite alternative hypothesis (3) Xcx ) should be close to some regularity conditions. W n x "ll one unknown pave under. Ho as t: e . p-value a p [ wi. Lrt large i. e value p - is too small. Ijn = ( hii ) ( thx ) ) 2=1 i . e . pit pz t ( i.
