this is a one-way repeated measures ANOVA. total DF=31, partitioned into 7 between subjects and 24 within subjects. the 24 are further broken down into 3 for types of shirts and 21 for error (subjects by shirts interaction). the "test" uses the F with 3 and 21 degrees of freedom. the test statistic is the ratio of the mean square for shirts to the mean square error. if the F is significant, you can do a post hoc test to look at whether the types differ across sizes or the sizes differ across both types.
have fun [EMAIL PROTECTED] (Archana) wrote in message news:<[EMAIL PROTECTED]>... > Hi, > > Iam textile engineering looking for some statistical advice. > I have the following test garments (total 4 types)- > > Type A - medium and large > Type B - medium and large > > The same 8 subjects wore the shirts and perfomred some physical > activity. Their heart rate, skin and core temperature etc were > monitored. I want to find out if the heart rate or the other > parameters are significant for the 4 types of shirt. What do i follow? > One way anova or repeated measures design and why? > your answers would be of great help to me. > > Thanks . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
