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koksiang100
Calcite | Level 5

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 ?

Ksharp
Super User

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

koksiang100
Calcite | Level 5

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 ?

Ksharp
Super User

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 .

koksiang100
Calcite | Level 5

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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