Quoting Steven, >Truncating with a while loop will result in something closer to this: > 000: * > 010: * > 020: ** > 030: **** > 040: ******* > 050: ********* > 060: ********** > 070: ******** > 080: ***** > 090: ** > 100: * > > which is far less distorted."
That is why I was thinking of a while loop. > Strictly speaking, you want a different distribution, not normal. Possibly > the F-distribution?" Why do you suggest a F dist, I have to admit I am not really sure how "most" test score are distributed. I was thinking it would be a truncated skewed normal. i.e. scores range from 0-100, mean is 80. For my I realize this is venturing more into statistics. Thanks Vincent Davis 720-301-3003
-- http://mail.python.org/mailman/listinfo/python-list