Pierre Simon Laplace, Inverse Probability, Central Limit Theorem, Probability, Deep Dives.
the Probability Density Function (PDF) of a continuous random variable X. If X is discrete, P(X=x) is the Probability Mass Function (PMF) of X. Then P(X ≤ x) = F(X=x) is the Cumulative Density Function (CDF) of X. F(X=x) returns the area under the curve of the PDF (or PMF) from negative ∞ to x. The