Final answer:
Probability distributions for discrete random variables are best visualized using a probability histogram, which uses adjoining boxes to represent different outcomes and their associated probabilities.
Step-by-step explanation:
Probability distributions can be visualized graphically using different types of representations depending on whether the random variable is discrete or continuous. For discrete random variables, the appropriate graphical representation is a probability histogram. This is because a histogram consists of adjoining boxes, with the x-axis representing the possible outcomes and the y-axis representing either frequency or relative frequency (probability). This allows one to see the distribution of probabilities associated with each outcome of the discrete random variable. Unlike continuous random variables, which use a probability density function (pdf) to summarize the distribution of probabilities, discrete random variables lend themselves to the histogram format.