Continuous probability distribution

A continuous probability distribution describes how likely different values are within a continuous range, such as heights, temperatures, or times. Instead of assigning probabilities to specific points, it assigns probabilities to ranges of values. The total area under the curve of the distribution equals 1, representing the certainty that the value falls somewhere within the possible range. For instance, a bell-shaped curve (normal distribution) shows that values close to the average are more common, while extreme values are less likely. This concept helps us understand and predict the likelihood of various outcomes in real-world scenarios involving continuous data.