Probability Statistics
Probability Density Function
PDF describes the relative likelihood of a random variable (X) taking a specific value (x); It represents the density of probability at (x). $F(x) = P(X=x)$
Cumulative Distribution Function
CDF gives the probability that a random variable (X) is less than or equal to a value (x). $F(x) = P(X<=x)$
Distribution vs Probability
P is a measure of the likelihood that a specific event or outcome occurs. D describe how probabilities are spread across all possible outcomes.