Hi, Please suggest a method to answer below questions:
Factory_ID Factory_Location Factory_Size Total_Sample Good_Sample Fair_Sample Bad_Sample ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ 1 City_A Big 100 90 10 10 2 City_A Big 120 55 35 30 3 City_A Small 80 40 25 15 4 City_A Small 75 50 15 10 5 City_B Big 150 80 30 40 6 City_B Big 120 55 25 40 7 City_B Big 125 40 80 5 8 City_B Big 100 60 25 15 9 City_B Small 70 45 15 10 10 City_B Small 85 65 5 15 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- (1) Is there a statistically significant different between City_A and City_B for the amount of Good_Quality_Sample that they produce? (2) Is there a statistically significant different between Big and Small factories for the amount of Good_Quality_Sample that they produce? I don't think that t-test works here because the Total_Sample (i.e., the total number of samples) from each factories is different. I don't like to pool data from individual factory together. For example, I don't like to pool Factory 1 and 2 together, because the variance among individual Factory can be quite big in real data. Thank you Xiang [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.