Cumulative Distributions

In data science, a cumulative distribution is a function that shows the probability that the random variable X is less than or equal to a certain value x. It is the sum of the probabilities of all values less than or equal to x. The cumulative distribution function (CDF) is used to determine the probability of a random variable taking a value less than or equal to a given value. It is a useful tool for analyzing data and making predictions. The CDF is often used in hypothesis testing, where it is used to determine the probability of observing a certain value or set of values. It is also used in survival analysis, where it is used to determine the probability of an event occurring before a certain time.
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