population parameter [Power / Sample Size]

posted by martin  – Austria, 2009-05-05 23:32 (5888 d 18:29 ago) – Posting: # 3650
Views: 9,627

Dear EM!

a larger sample size will result in a narrower confidence interval for the unknown population parameter (rule of thumb: quadruple the sample size will double precision). you choose R/T=95% and not R/T=100% as expected population parameter for your simulations and the narrower confidence intervals (for the expected true ratio of R/T=95%) for larger sample sizes will give you the results observed in your simulation study. just use R/T=100% as population parameter (i.e. assuming perfect BE ;-) ) and differences in power will be smaller.

hope this helps

martin

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