hi, I have data that i do not exactly know how to statistically analyze: subjects are repeatedly asked to make a decision (e.g. left-right -> coded as 0 or 1). i have 20 subjects, each subject made 8 decisions.
i now want to analyse whether my experimental manipulation induced a systematic bias in subjects answers. if that wasn't true i expected a chance level of 0.5 (50% left, 50% right). the way i am analysing my data right now is that i calculate the mean of the single trials for each subject (mean of (0,1,1,1,1,0,0,1) = 0.625). now i have a vector of single subjects preferences. assuming this distribution was normally distributed i could perform a one-sample t-test against a chance level (e.g. 0.5). obviously my data are not normally distributed -> so i guess my question really is: which non-parametric test does test a distribution against a given theoretical value ? Someone told me to use a 1-sample Wilcoxon signed rank test ??? thanks for any help, jan wiener . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
