I'd like to know what ur measuring in the trials and how u do it. A desctiption of ur method and variables of interest would be a gd starting point.
i am quantifying the amount of (arginine deiminase) ADI gene expressed when bacteria is subject to abundance of arginine (arg+) absence of arginine (arg-), in the availability of light ( light+) absence of light (light-). any suggestions on number of trials? would 5 trials be enough?
as far as i understand u mean by trial the sample like sample size so if thats true there are formulas which can be used to decide the sample size. so there is still need for more information on what and how u measure the ADI gene expression. it would be helpful if u could decribe ur methodand outcome clearly.
And could u please fill the table ur using just for the first 3 colums as an example
I will think about one-way ANOVA if you consider the 4 groups are independent, or two-way ANOVA if you consider there is an interaction between arginine and light. The issue will be how do you interpret the result when you have a significant value of statistics.
One-Way ANOVA is not a good approach, since you have, at least, two interesting factor (abundance x light). There is no doubt about it!
However, there is still one doubt about what "trial" means... If each trial is a group of measures, then you have a Three-Way ANOVA (abundance x light x trial) with repeated mesures at the third factor (trial). If this is not the case and "trial" is just one measure, Daniela Ferreira is right and you should stay on Two-Way. Do not forget to look at interactions!!!
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