The results are in (such as they are): Although the expected values of all the cells were not large enough to perform a valid chi square, I did it anyway and also included a graph of the difference in male-female responses on the question of answering a student's cell phone in class. You can see the results at:
http://acadweb.jbu.edu/psychology/genderdifference.htm According to the warning at: http://www.unc.edu/~preacher/chisq/chisq.htm, "expected frequencies less than 5 are usually considered acceptable if Yates' correction is employed". If so, Yates' chi square is .174 with a p-value of .68. So, although the graph suggests a gender difference might be detected with a larger sample size or with a more powerful test, the probabilities don't allow you to draw that inference from the sample we have here. Rick Dr. Rick Froman Professor of Psychology John Brown University 2000 W. University Siloam Springs, AR 72761 [EMAIL PROTECTED] (479) 524-7295 http://www.jbu.edu/academics/sbs/faculty/rfroman.asp --- You are currently subscribed to tips as: [EMAIL PROTECTED] To unsubscribe send a blank email to [EMAIL PROTECTED]
