Hello everyone, Please I need an urgent answer!
I have a table from an experiment in which, we tested the effect of the season ( winter: conducted in November and December) and summer: conducted in July and August) on the milk production of two groups of animals reared in the same conditions. Each group is randomly assigned according to season winter (30 animals) and summer(30 animals). Both groups have the same characteristics of animals(age, weight..), so can only test the effect of season. The results are presented in the table below :
My question is which one of the two suggested models is better describing the result;
1/ Mixed model for repeated measurements where y (milk yield)= µ+Cow+Season+samling time+Season*sampling time+error;
2/One-way Anova where y= µ+season+error
Please, I'm counting on the SAS community!
winter (Nov-Dec)
summer (July-Augst)
SEM
P
Milk yield
Fat
protein
... View more