Posted on Methods and Protocols forum, too, so if you posted there you can ignore me here.

Hey there

I’m trying to work up the stats for a series of viability assays and I have a question.

The protocol is that I pool the cells together for a given exp, then separate them evenly into different tubes and give them different treatments, with one tube left alone for ‘control’ viability. I did a number of these each on different days, and the basal viability levels of the cells can be variable. So now that I’m looking at stats (using sigma stat), I want to know if I should use a regular ANOVA or a Repeated Measures ANOVA to compare the different treatments. The data is set up so that each exp is in line in the rows, with the different treatments in line in the columns.

I hope that made sense. Anyhow, if anyone could let me know which is better (I am thinking RM, but I don’t want to use a more powerful test than I’m able).

THANKS!