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Dear all, This question is about estimating a confidence interval for a parameter about which all we know is its extremes. The situation is that we have two treatments; medium and high stress, say. The stress applied is quite variable and has been measured at various point in time. We know that between these two points a parameter exists (specifically the EC50). What is needed is a pragmatic solution as the experiments design is not ideal. All I can think of is to estimate, via bootstrapping, the distribution of the extremes. My question is: is it possible to infer a confidence interval from these two estimates? I was thinking we could use the CDF of the minimum and the reverse CDF of the maximum to estimate a kind of coverage probability but I am unsure of the validity of this. Any help or references would be greatly appreciated. Kind regards, Colin Millar. Colin Millar, Statistics, Fisheries Management. FRS Marine Laboratory, PO Box 101, 375 Victoria Road, Aberdeen, AB11 9DB, UK. Tel(direct) +44(0)1224 295395 Tel(reception) +44(0)1224 876544 Fax +44(0)1224 295511 email [log in to unmask] <mailto:[log in to unmask]> webpage www.frs-scotland.gov.uk <http://www.frs-scotland.gov.uk> FRS is an agency of the Scottish Executive