Continuous probability refers to the likelihood of outcomes in a continuous range, rather than distinct, separate values. This concept is often represented using a probability density function (PDF), which illustrates how probabilities are distributed over a continuous interval. For example, the height of individuals in a population can take on any value within a range, making it a continuous variable. In continuous probability, the probability of a specific outcome is technically zero, as there are infinitely many possible values. Instead, we calculate the probability of an outcome falling within a certain range, using integrals to find the area under the PDF curve. This approach is essential in fields like statistics and finance.