Psychology 2810 Lecture 8: Lecture 8

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Le(cid:272)ture 8: co(cid:374)ti(cid:374)uous ra(cid:374)do(cid:373) varia(cid:271)les: normal distribution, z scores and p values, normal approximation to the binomial distribution. Continuous random variables: crv: can assume infinite possible values, what is p(x=a), not dealing with discrete so p(x=a)=0 (cid:271)e(cid:272)ause it (cid:272)a(cid:374)"t stop at o(cid:374)e (cid:448)alue (cid:894)(cid:272)o(cid:374)ti(cid:374)uous(cid:895) It (cid:272)a(cid:374)"t stop at o(cid:374)e spe(cid:272)ifi(cid:272) (cid:448)alue (cid:271)(cid:455) defi(cid:374)itio(cid:374) Instead we can consider two points in a distribution and look at range between them. Intersect of 1. 6 and . 05 p=. 4505: what is p(22

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