All possible outcomes of a random experiment are random variables. A random variable set is denoted by X. If the possible results of an experiment are countable, it is called a discrete random…

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All possible outcomes of a random experiment are random variables. X is the number of times the event happened in the specified time interval. In the Poisson distribution, the events are independent of each other. We can visually check how close a sample is to the normal distribution using QQ-Plots. The tail is the long, narrow part of a distribution where outliers are located. When one tail differs from another, it is called skewness.

Statistical Probability Distributions