The normal distribution of MLE is start {x1,,,,,xn} random sample from N(u,σ^2)
This family of distributions has two parameters: θ = (μ, σ), so we maximize the likelihood, , over both parameters simultaneously using logarithm...
I know this. but what if the normal distribution's {x1,,,,,xn}...