Stopping rule greatly affects sampling distribution for
estimates of treatment effect
Data which lead to normally distributed sampling distributions
under fixed sample testing lead to skewed, multimodal densities
with jump discontinuities under sequential testing
Treatment effect is no longer a shift parameter
Exact shape of sampling distribution therefore depends
upon stopping rule and alternative