Hi all, I would like to seek help in analysis of my data set. I am looking at the effect of storage conditions (humidity and temperature) on germination of dormant seeds (over time). I set up my experiment as a split-split plot (main plot: humidity, subplot: temp and subsubplot: time) and I did two runs (seasons) to see whether treatment results are consistent. Results of the PROC univariate indicates that my data is not normal and is highly positively skewed (2.2). Can I still run an ANOVA with this? I would like to see whether factors I have (and their interactions are significant) and also whether the two runs are significant (which can indicate whether the runs can be combined or not. Attached is a data set and results of the proc univariate. Any help (specifically in writing the analysis code) is greatly appreciated. Thanks!
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