L e t ′ s c a l c u l a t e a z − v a l u e , g i v e n x ‾ = 70 a n d σ = 54 = 7.348 Z = 82 − 70 7.348 = 1.633 U sin g c a l c u l a t o r o r z − t a b l e w e c a n c a l c u l a t e : p ( z < − Z a n d z > Z ) = 0.102 > 0.05 S i n c e p − v a l u e i s g r e a t e r t h a n o u r s i g n i f i c a n c e l e v e l , w e c a n c o n c l u d e t h a t s a m p l e v a l u e 82 c o m e s f r o m a n o r m a l p o p u l a t i o n w i t h m e a n 70 a n d v a r i a n c e 54. Let's\;calculate\;a\;z-value,\\given\;\overline{x\;}=70\;and\;\sigma=\sqrt{54}=7.348\\Z=\frac{82-70}{7.348}=1.633\\U\sin g\;calculator\;or\;z-table\;we\;\\can\;calculate\;:\\p(z<-Z\;and\;z>Z)=0.102>0.05\\Since\;p-value\;is\;greater\;than\;our\;\\significance\;level,\;we\;can\;conclude\;\\that\;sample\;value\;82\;comes\;from\;a\;\\normal\;population\;with\;mean\;70\;\\and\;variance\;54. L e t ′ s c a l c u l a t e a z − v a l u e , g i v e n x = 70 an d σ = 54 = 7.348 Z = 7.348 82 − 70 = 1.633 U sin g c a l c u l a t or or z − t ab l e w e c an c a l c u l a t e : p ( z < − Z an d z > Z ) = 0.102 > 0.05 S in ce p − v a l u e i s g re a t er t han o u r s i g ni f i c an ce l e v e l , w e c an co n c l u d e t ha t s am pl e v a l u e 82 co m es f ro m a n or ma l p o p u l a t i o n w i t h m e an 70 an d v a r ian ce 54.
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