Here's a video on how to do that. It's from the point of view of agricultural variables. Hence. it might be useful for you.https://www.youtube.com/watch?v=kWQ1m-744KE&ab_channel=AgriculturalStatistics

In case your data is not normally distributed, you can opt for non-parametric tests like Kruskal Wallis test. I have two articles on this

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To analyze tamarind genotype data collected from an experiment using a Randomized Block Design (RBD) and estimate the variability, follow these steps:

Interpreting the results:

• A high CV indicates high variability, meaning that the yields or measurements for a particular genotype vary widely across blocks or seasons.
• A low CV indicates low variability, meaning that the yields or measurements for a particular genotype are relatively consistent across blocks or seasons.

By comparing the CVs of different genotypes, you can identify those genotypes that are more consistent in their performance across different environments. This information can be useful for selecting genotypes for further evaluation or breeding programs.

Pradeep Paul George@ Thank you so much for responding to my question. Your answer on calculating CV was helpful. Now, I have a pooled ANOVA, and I need to calculate the Phenotypic coefficient of variation, Genotypic coefficient of variation, Heritability, and Genetic Advance. These are all components used to assess the variability of a trait present in the population.

Yes, you can do so.