This page offers an overview of continuous probability density functions (pdfs) and cumulative distribution functions (cdf). It highlights that pdfs represent probabilities for continuous random varia...This page offers an overview of continuous probability density functions (pdfs) and cumulative distribution functions (cdf). It highlights that pdfs represent probabilities for continuous random variables, with total area equaling one. The text covers uniform and exponential distributions, explaining their definitions, key statistical measures (mean and standard deviation), and their probability density functions.
This page covers properties of continuous probability density functions (pdf) and cumulative distribution functions (cdf), focusing on uniform and exponential distributions. It details their character...This page covers properties of continuous probability density functions (pdf) and cumulative distribution functions (cdf), focusing on uniform and exponential distributions. It details their characteristics, including mean, standard deviation, and probability calculations. The page also introduces the Poisson distribution and its probability calculation formula based on the mean.
