Hi all, I have two columns of numbers that I wish to compare to see how similar/ dis-similar they are. The columns of numbers are a series of Pearson Product Moment Correlation Coefficients (PPMCC). In order to compare the two columns of numbers in the past I have employed a standard independant samples t-test. Recently I have plotted the distribution of the data and it is NOT normally distributed (the range in actual fact is more like -0.1 to +0.8). Therefore the assumptions underlying the t-test are violated and I shouldn't be conducting a t-test on the data. Right??
I have thought about using a non-parametric equivalent of the t-test and also about using some kind of normalisation on the data set so that I can use a t-test (determined to use a t-test!!!). What is the correct way to go forward? Many thanks in advance. . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
