In my case,dependent variable is my actual output n demand.... my independant variable is d time period(52 weeks).... am i on d right path ?
I don't know what to say. If I am right , independant variable or dependent variable is only for general linear model or mixed model . NOT for contingency table analysis . contingency table analysis is only searching the association relationship between row variable(ACTUAL) and column variable(DEMAND) . Therefore, if you want see if they are difference in population mean value, useing mann-whitney test(i.e. wilcoxon-mann-whitney test) -- proc npar1way + wilcoxon option , check its example in sas documentation about proc npar1way .
And Hope Dr Steve could give you some constructive advice .
Xia Keshan
Mann-Whitney U Test in SPSS | Setup, Procedure & Interpretation
I had checked some info on mann whitney test. However i hipe you could giv me some advice on the article i paste above... in the article, assumption#2 mentioned innependant should consists of 2 categories which my independant data is time period ,do not have 2 categories.... can i still able to conduct this test ?
The point is what is your purpose ? Check if ACTUAL is statistical different with DEMAND ? OR if ACTUAL is increasing ,so DEMAND is also increasing ?
The Mann-Whitney U test you talk about is just what I am talking about (i.e. wilcoxon-mann-whitney test).
Search npar1way at support.sas.com you will got tons of examples and documentation about it .
My point of purpose is actual is significantly different fron demand with the proof from statistical test.
O ok,i will go to check them out...
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