For the intended Gaussian density σ > 0. The prefactor is a positive constant and $e^{-\lambda}$ decreases as λ increases. The squared deviation is minimized at x = μ, where λ = 0. Hence f is maximized at x = μ, D.
More Calculus: Limits, continuity, differentiability, chain rule, maxima and minima, integration questions
GATE 2020 AE Q42– A closed curve is x = a cos θ, y = b sin θ, with a = 7 m and b = 5 m. Using π = 22/7, find…
GATE 2019 AE Q11– For real x, what is the maximum value of f(x)=xe-x?