Question: how maximum likelihood estimation works?
Answer: Maximum likelihood estimation is a method that will find the values of μ and σ that result in the curve that best fits the data. ... The goal of maximum likelihood is to find the parameter values that give the distribution that maximise the probability of observing the data.