Examples are found in experiments whose sample space is non-numerical, where the distribution would be a categorical distribution experiments whose sample space is encoded by discrete random variables, where the distribution can be specified by a probability mass function and experiments with sample spaces encoded by continuous random variables, where the distribution can be specified by a probability density function. "In probability and statistics, a probability distribution assigns a probability to each measurable subset of the possible outcomes of a random experiment, survey, or procedure of statistical inference. Use this chart template to design your histograms for visualization of probability distribution.
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