Maybe I should simplify the problem with the following smaller table. And I
just want to ask whether
there is any significant difference in the proportion of "Good_Sample"
produced by factories located in "City_A" and "City_B".
Factory_ID Factory_Location Total_Sample Good_Sample
-
Thank you very much Joshua. I was thinking to use logistic regression with
glm(). But this will pool the individual factories which share the same
factor levels together. I was puzzled by how to deal with individual
factory. Any idea? I will try your method anyway.
Xiang
On Mon, Mar 22, 2010 at
Dear Xiang,
Now I understand what you meant. If you are only interested in
comparing the Good Samples, I think you would have to use the
proportion (Good Sample/Total Sample) or something similar. Another
thought would be to dummy code the data (e.g., Good = +1, Fair = 0,
Bad = -1). Then you co
Dear Joshua,
Thank you so much for such fast reply. Here is my thought:
I don't know if it is fair to compare means because the total samples from
each factory can be very different (like, In Factory_5 with 150 total
samples vs. Factory_9 with 70 total samples). Maybe it is more fair to
compare f
Dear Xiang,
Unequal sample size is not a problem for t-tests. If I understand
correctly, you do not want to pool your data because you believe the
variance of individual factories is heterogenous. Are you willing to
pool the means? You could calculate the variance for factories
individually and
Hi, Please suggest a method to answer below questions:
Factory_ID Factory_Location Factory_Size Total_Sample
Good_Sample Fair_Sample Bad_Sample
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