- Thread starter hana-
- Start date

theres one treated group and one untreated

each group is split into 3 subsections

and the values for the three subsections are all percentages that add up to 100% per group.

i need to know if the difference i see between say the percentage for subsection 1 in the treated group is significant to the % for subsection 1 in the untreated group...

did i explain that ok?

ill give you my email or something if you need more info or can help...

thanks

hana

You could lay out the data in a 2 x 3 table and determine if the distribution of items (i.e., subset %'s) in the treated group is significantly different from the distribution of items in the untreated group.

this link should give you a good idea of how to carry out this analysis:

http://davidmlane.com/hyperstat/chi_square.html

at that site, in step 2 (more than two categories) my table is like that but with two columns, one for treated and one for untreated.

but the thing is, my experiment was in triplicate so for each subsection i have 3 values.

i dont really know how to reconcile all that to to the chi square test

If you get different results for the different replicates, then you've got another variable in there affecting the results (replicate-to-replicate).....

- if so, I would not recommend ANOVA, since percentages are not normally distributed (they are bounded by 0% and 100%)

....a lack of normality doesn't usually throw off ANOVA results enough to worry about, but in this case, where they add up to 100%, ANOVA results may be very misleading....

Maybe you could post a sample 2x3 table of what your data looks like - is it percentages in the sense of "x out of n" or is it a reading / measurement?

I'm a little confused as to what exactly you're measuring and how it's being quantified....