This is my first time posting here so apologies if my post is not appropriate.

I am a masters student doing a project on evaluation of conditioning methods to prepare farmed abalone for the stress of live export. I am looking at whether holding time duration and the ozone levels of the tanks in which abalone are held prior to being exported effects their stress levels, which I measure through various procedures.

So I have 3 factors:

Factor A: Transport (Yes, No) 2 levels

Factor B: Duration (0, 7, 14, 21 days) 4 levels

Factor C: Ozone levels (200, 300, 400 mV) 3 levels with 2 replicates for each level

Set up:

I have access to 6 tanks, each with adjustable ozone levels and containing 1000+ abalone which I can sample at any time.

On each measuring day (0, 7, 14 and 21 days) I take 4 abalone out of each tank, two of which are measured immediately, the other two of which are put through a transport procedure and then measured.

Assuming the data obtained from my measuring procedures has a normal distribution:

**Nested ANOVA- Is this an appropriate analysis for my experiment?**

Transport: Factor A 1 d.f

Duration: Factor B(A) 3 d.f

Ozone: Factor C(B(A)) 5 d.f

Residuals 1425 d.f? (1*3*5(n-1)) = 15(95) = 1425????

**If there is no interaction between the factors, should I pool the main effects for each factor?**

So Transport: 48 obs (abalone measured) for each category

Duration: 24

Ozone: 32

Any help would be greatly appreciated.