Subject: From: silvadmr <silvadmr@xxxxxxxx> Date: Thu, 25 May 2006 18:16:14 -0300--_=__=_XaM3_.1148591774.2A.228938.42.7890.52.42.007.455609468 Content-Type: text/plain; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable Hi Is there a way to define the "ambiguity" of a stimulus in a classificatio= n experiment better then the difference between p(x) and 0.5 ? (where p(x= ) is the proportion of responses corresponding to one of two possible res= ponses) --_=__=_XaM3_.1148591774.2A.228938.42.7890.52.42.007.455609468 Content-Type: text/html; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable <DIV style=3D"FONT-SIZE: 12px; FONT-FAMILY: verdana, arial"> <DIV>Hi</DIV> <DIV>Is there a way to define the "ambiguity" of a stimulus in = a classification experiment better then the difference between p(x) and 0= .5 ? (where p(x) is the proportion of responses corresponding to one= of two possible responses)</DIV></DIV> --_=__=_XaM3_.1148591774.2A.228938.42.7890.52.42.007.455609468--