can anyone guide me on how to on how to statistically approach my datasets from a knockout. I’m unsure of what variables I should be comparing / most appropriate statistic test

• Seizure duration; dependent ( continuous) Strains; independent (CS control, CS KO, eas control, eas KO) (categorical)
• Time values independent (continuous)
• Three different datasets in different experimental conditions: light dark (LD), constant light (LL) and constant dark (DD) ( independent, categorical)

Research hypothesis: KO is associated with diurnal seizure variability

Sample size n = 20 biological replicates (strain) per time point

Data doesn’t have normal distribution, tried normalising and still didn’t pass Shapiro test

I’ve used mixed effects despite normalisation and non parametric tests