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nbme22/Block 3/Question#26 (34.1 difficulty score)
A study is conducted to assess the extent of ...
Type I error: No change;
Type II error: decreased


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submitted by bhangradoc(21),
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heT la-euvP is cbliyasal tepy 1 ,orrer nad ythe ekpe the alvep-u eth seam a(t 0l.&t);5 ni thbo rnvisseo of hte emepre.insxt yB siriecgann uebrnm fo naettsip in eth upor,g thye eacinres woerp of eth yuts,d cwihh uedrces ptye II reorr.

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.

+2/- b1ackcoffee(34),

submitted by sam1(16),
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If neoayn edens a rrrseheef no sethe caislattist ocp,esctn ahKn sha a inbtlilar ide:ov


submitted by _pusheen_(6),
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No gceanh in yept 1 rreor nda saeredec in type 2 errro? anC oeoesmn esealp npliexa yw?h

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. +2