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NBME 22 Answers

nbme22/Block 3/Question#26 (36.1 difficulty score)
A study is conducted to assess the extent of ...
Type I error: No change;
Type II error: decreased
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 +17 
submitted by bhangradoc(23),
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ehT u-Plaev si ybllsiaac eytp 1 rro,er dan yteh peek eht alvuep- het seam (ta ;0.)l5&t ni ohtb iervsson fo hte epms.ieretxn By gaernscini reubmn of niatestp ni het uprg,o ehyt esenaicr repow fo eht ,ydtus hichw seucedr yept II er.orr

jfny21  Thank you +1  
baja_blast  For more, FA 2019 p. 262 goes over Type I and II errors. +  

This logic is flawed. They have kept statistical significance level same (alpha - 0.05). p value is probability of committing type 1 error. It is calculated (derived), can't be predecided. alpha-level is pre-decided.

+3/- b1ackcoffee(50),


 +1 
submitted by sam1(16),
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fI ynenoa dseen a rrhfeesre on tehse cistaisatlt ,ceoptnsc nhaK ash a tlabiilrn :iodev

on.eonicasbrmeirt-tir-pnlh-acntaarnaep.wcgier/srs//ru-b/riesd-poycgpn/ew/t/ys/--iw-d-dfstisepoit-pivomwkr-optt:aotretihitaae-attisciosyhat




 +0 
submitted by _pusheen_(6),
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No gnceah ni eypt 1 error and edcaeesr in etyp 2 orr?er Cna osmeeon paelse nilexpa y?wh

bhangradoc  The P-value is basically the type 1 error, and they keep the p-value the same (at <.05) in both versions of the experiments. By increasing number of patients in the group, they increase power of the study, which reduces type II error. +4