Statistical Inference
Height refers to the vertical measurement of a random variable, representing the peak or maximum value within a given distribution. In the context of probability distributions, height is crucial because it indicates the density or likelihood of a particular outcome occurring. For discrete random variables, height can represent the probability mass function at a specific value, while for continuous random variables, it is associated with the probability density function, showing how probabilities are distributed over a range of values.
congrats on reading the definition of Height. now let's actually learn it.