population parameter [Power / Sample Size]
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
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

hope this helps
martin
Complete thread:
- Power with a Danish twist ElMaestro 2009-05-05 19:49 [Power / Sample Size]
- population parametermartin 2009-05-05 21:32
- population parameter ElMaestro 2009-05-05 21:48
- population parameter martin 2009-05-05 22:59
- population parameter ElMaestro 2009-05-05 21:48
- Wrong Question Answer in Danish d_labes 2009-05-08 09:49
- Danish numbers d_labes 2009-05-08 15:53
- Danish numbers ElMaestro 2009-05-08 20:19
- Danish numbers d_labes 2009-05-08 15:53
- Power with a Danish twist Helmut 2009-05-08 13:23
- Power with a Danish twist d_labes 2009-05-08 16:06
- Power with a Danish twist Helmut 2009-05-08 16:15
- Power with a Danish twist ElMaestro 2009-05-08 19:40
- Power with a Danish twist d_labes 2009-05-08 16:06
- Power with a Danish twist Helmut 2009-05-08 16:56
- Power with a Danish twist ElMaestro 2009-05-08 19:17
- population parametermartin 2009-05-05 21:32