Pingu writes: > Before i go on, let me just put this into context: I am very > short of time and intended these to be 'pilot' tests before the > main body of research, and therefore they were done very quickly > and not in line with a thorough experimental design or control. > I have a hunch which configuration is best and it is not > essential that i do this anaylsis before continuing, however i just > wanted to add a bit more 'meat' to my justification for selecting > config x over config a, b, or, c etc.. I therefore just want a 'rough > and ready' analysis of the data to see whether one condition > does actually stand out as faster than the rest. I do not want > practice effects to be taken into account.
Have you graphed the data? If the times for one condition are clearly way better than all the others, then perhaps a graph is all that you need. Boxplots should work nicely, or a simple scatterplot might also be good. Steve Simon, [EMAIL PROTECTED], Standard Disclaimer. The STATS web page has moved to http://www.childrens-mercy.org/stats. . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
