"Should" you be using Bayesian statistics? That simply comes down to personal preference. I like to use it because it makes it really easy to reason about uncertainty in downstream applications. It's also useful when I have strong prior knowledge about an estimate or am updating it from a previous measurement. Its also especially useful when the data generating process has multiple stages or subpopulations and the particular application can make use of those component measurements.
You can totally use Bayesian statistics to measure V = IR... You could also just bootstrap `V/I`.
You can totally use Bayesian statistics to measure V = IR... You could also just bootstrap `V/I`.