<ul><li>PDF stands for Probability Density Function. It describes the relative likelihood of a continuous random variable taking on a particular value.</li><li>The PDF of a continuous random variable is denoted as f(x) and is used to calculate the probability of the variable lying between a specific range of values.</li><li>The CDF, or Cumulative Distribution Function, gives the probability that a random variable takes a value less than or equal to a given value.</li><li>The CDF accumulates probabilities from the leftmost possible value up to a given value and satisfies specific properties, such as starting at 0 and approaching 1.</li></ul>

Short Introduction of PDF and CDF

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