![]() Independent events are events whose outcome does not influence the probability of the outcome of another event P(A|B) = P(A) Probability is the likelihood of an event occurring.Ĭonditional Probability is the likelihood of an event occurring, based on the occurrence of a previous event. The first moment is the mean, the second moment is the variance, the third moment is the skewness, and the fourth moment is the kurtosis. Moments describe different aspects of the nature and shape of a distribution. Poisson Distribution: a probability distribution that expresses the probability of a given number of events occurring within a fixed time period.īinomial Distribution: a probability distribution of the number of successes in a sequence of n independent experiences each with its own Boolean-valued outcome (p, 1-p). T-Distribution: a probability distribution used to estimate population parameters when the sample size is small and/r when the population variance is unknown ( see more here )Ĭhi-Square Distribution: distribution of the chi-square statistic ( see here ) Discrete Data Distributions ![]()
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